Effects of the Mutual inductances on the Switched Reluctance Machines

Size: px
Start display at page:

Download "Effects of the Mutual inductances on the Switched Reluctance Machines"

Transcription

1 Europea Assocato for the Developmet of Reewable Eerges, Evromet ad Power Qualty (EA4EPQ) Iteratoal Coferece o Reewable Eerges ad Power Qualty (ICREPQ ) Satago de Compostela (Spa), 8th to 3th March, Effects of the Mutual ductaces o the Swtched Reluctace Maches,3 A. Fleury, R. J. Das, W. R. H. Araúo, A. W. F. V. Slvera, D. A. Adrade, 3 G. C. Rbero Potfíca Uversdade Católca de Goás, Uversdade Federal de Uberlâda, 3 Uversdade Estadual de Goás, Rua São Lus, 634, CEP 74 46, Jardm Petrópols, Goâa, Goás, Brasl Phoe: afleury@terra.com.br Abstract. There are may studes whch dscuss the mutual ductaces the Swtched Reluctace Mache SRM. Most of these studes sad that the fluece of ductace s eglgble. I ths paper the flueces of those ductaces are aalyzed. Ths work presets expermetal measures ad aalyss of these quattes o prototypes of SRM wth varous settgs amg to cotrbute to the kowledge of the subect. The varatos of the ductace profle due to the curret the actve phase, the agular posto of the rotor ad saturato are take to accout. Surfaces are preseted to summarze the behavor of the self ductace ad of the mutual ductaces gotte from dfferet maches. It s preseted the smulato of the SRM geerator mode takg to accout the mutual ductaces. The results are preseted ad dscussed coclusvely, ad the some propostos are made. The results preseted here reveal the relatve dmeso ad the fluece of the mutual ductaces ad show that they have the potetal to dcate the posto of the rotor of the mache, thus avodg the use of electroc sesors allowg sesorless techques. Furthermore, ths artcle hghlghts the mportace of cosderg the mutual ductaces the desg, mathematcal modelg ad smulato of SRM order to mprove de mache performace. Key words Math modelg, Mutual ductaces, Self ductace, Swtched Reluctace Mache.. Itroducto The Swtched Reluctace Mache SRM attracted the scetfc commuty from etes due to the U.S. Ar Force More Electrc Arcraft Program. It meas to replace hydraulc, peumatc ad mechacal devces by electrc power to crease the relablty of the arcraft. Ideed a ege drectly coupled to the turbe shaft adds smplcty ad robustess to electromechacal coverso processes. The SRM has o rotor cols ad behaves well uder varable speed ad extra-hgh speed []. Thus, t s cosdered as starter-geerator coupled to the shaft of a teral combusto ege to provde startg torque ad feed electrcal loads. As a result of pulleys ad belts are elmated, reducg fuel cosumpto. O the other had, due to worldwde demad for alteratve ad reewable eergy, after testg, the Swtched Reluctace Geerator SRG s cosdered promsg for applcatos wd eergy. There are also studes for ts use dverse felds such as electrc vehcles or hybrd, rural electrfcato or as a battery charger self-excted (stadaloe). I other expermets, the SRM was partcularly effectve for fractoal power loads []. Ths paper cotues the research o the effects of mutual ductaces [,3] that s a aspect ot yet cosoldated the scetfc commuty. The fact s that they exst ad affect the mache performace. The questo s whether or ot ts effect must be take to accout. The results preseted here reveal the relatve dmeso of the mutual ductaces ad show that they have the potetal to dcate the mache rotor posto, thus avodg the use of electroc sesors allowg sesorless techques. Furthermore, ths artcle hghlghts the mportace of cosderg the mutual ductaces the desg, mathematcal modelg ad smulato of SRM order to crease the mache performace. Ths matter cocerg the mutual ductaces the swtched relucatace mache s focused some relevat artcles as [5] ad [6].. Math modelg. Nomeclature L Iductace. Phase curret. θ Istataeous agular posto of the rotor. Number of phases of the mache. Order of a phase of the mache. R Resstace of a phase col. v Voltage of a phase col. ω Rotor agular speed. C m Mechacal torque. C emag Electromagetc torque. J Rotatoal erta. D Dyamc frcto coeffcet. W co Co-eergy of a phase. It wll be preset a mathematcal model for the SRM takg to accout the mutual ductaces ad saturato effects. Ths procedure s take because the ductace 3 RE&PQJ, Vol., No., Aprl

2 depeds o the costructve parameters of the mache besdes agular rotor posto ad curret as well. I order to obta a equato for the crcut of the phase, cosder the self ad the mutual ductaces of the phase col, depedg o rotor agular posto (θ) ad o the curret that phase col ( ). Ths col has a teral resstace R. The the voltage at the termals of the col s gve by: v () = R + d F dt L + L k k, k k = wth ragg from to. Here L k =L k, k, s the mutual ductace betwee phases ad k, ad L s the self ductace of the phase. Equato () allows wrtg a set of o lear dfferetal equatos: v v =. v R +ω L where ω = d θ dt Equato () descrbes the electromagetc behavor of the SRG. The mechacal torque depeds o the co-eergy of the phases, o the rotatoal erta ad also depeds o the dyamc frcto coeffcet. Icludg the mechacal relatos equato () becomes: Now let [V], [R], [I], [L] ad order they appear (3), the: ω L. ω L ω L R +ω L. ω L.... ω L ω L L L. L L + L. L..... L L. L v v. v C m =. R +ω L +. () R ω L. ω L ω L R. ω L ω L ω L. +. R W co W co. W co ω D θ. + L L. L L L L. L L L L L. L. J.. ω θ (3) [ I] be the matrces the [ I] = [L] - [V] - [L] - [R][I] (4) Ths equato completely descrbes the state of each phase of the mache at ay tme. It ca be solved by teratve umercal computatoal methods. 3. Measuremets of self ad mutual ductaces Scetfc papers dealg wth the SRM dsregard the mutual couplg betwee phases. Accordg to the authors the mutual ductaces ca be dsregarded the desg of the mache, the smulatos ad evaluatos of the performace of the prototypes, wth o mportat mpact o results because they are small, approxmately percet of the self ductace. But ths paper presets studes where the mutual ductaces are greater tha %, elargg ts relevace. So the relatoshp betwee the self ad mutual ductaces s the pot. From (), uder certa crcumstaces the self ductace ca be wrtte as: V L (5) = R ω e I I ths case all the phase cols are ope, except for phase. The rotor s blocked. Alterate curret of electrcal frequecy exctes the actve phase. V ad I are the rms values for the actve phase voltage ad curret respectvely. For the mutual ductaces, ts equato ca be wrtte as: vk L (6) k = Lk = L v R where ad, respectvely. phase, L k v k ω e s the mutual ductace betwee the phases k L s the self ductace of the actve s the duced voltage the phase k, v s the voltage o the actve phase, R s the resstace of ths phase ad s ts curret. Thus, the relatoshp betwee the mutual ad self ductaces s gve by: L k L = v k ( v R ) Ths rato vares depedg o the curret ad the stataeous agular posto of the rotor. The preseted method to determe the mutual ductaces from the expermetal data s appled whe the rotor s locked ad the phases are ope crcuted, except the oe dested to excte the rotor yoke. Ths method allows studyg the dyamc behavor of the relatos betwee the self ductace ad mutual ductaces prototypes. 3. Expermetal measures of the ductaces The mutual ductaces were measured a SRM wth 8x6 topology ad aother wth 6x4 topology. The data were tabulated ad used a computer model developed wth terpolato programs to determe the values of ductaces ad ther dervatves at ay locked rotor posto for varous curret values. Both maches have optcal sesors to dcate stataeous rotor posto. Fg. shows the test bech. (7) 3 RE&PQJ, Vol., No., Aprl

3 ) ) Fg. 3 shows the mutual ductace L DC obtaed from the procedure descrbed 3.. Mutual ductace L 4 3 x -4 Fg. A test bech bult. As prevously descrbed the procedure used to obta the values of self ad mutual ductaces for each rotor posto cossts o fxg the rotor a desred posto ad the eergzg the respectve phase col proceeds wth the voltage ad curret measuremet of the phase col. Besdes, the duced voltages o the other phases are measured order to apply equatos (5) ad (6) amg calculates the values of self ad mutual ductaces. Wth the obtaed (calculated) values s possble to trace the profles of the self ad mutual ductaces as fucto of rotor agular posto ad curret. For the mache 8x6 a SRM wth 4 phases (A, B, C ad D) the phase D was cosdered as a referece for the measuremets. The curret was appled at the phase D ad chaged from A to 37 A, wth steps of A. The agular posto was chaged from (algmet of poles) up to 3 (msalgmet of the poles), also cremets of two uts. Ths resulted a database that allows costructg surfaces for expermetal ductaces. For a better vsualzato of the behavor of ductaces L (θ,) of the 8x6 mache surfaces were costructed from the data collected. These surfaces ca be see Fg.. As show equato (3), the values of self ad mutual ductaces ad ther dervatves wth respect to the agular posto of the rotor are requred to smulate the behavor of the mache. Fg. 3 presets the behavor of the ductace of phase C whe the measuremet procedure was appled at the phase D (referece phase). Fg. 4 shows the surface of the mutual ductace L DB obtaed through the same method of the prevous fgure. I d u t a c e ( h e r y ) IIductace (hery) Fg. 3 Mutual ductace L DC cosderg the 8x6 SRM x Rotor agular posto ( deg ) - MútuaI Iductace L4 3 4 Rotor agular posto (deg) Fg. 4 Mutual ductace L DB cosderg the 8x6 SRM. The mutual ductace L DA has the same behavor of the ductace L DC (Fg. 3) sce these ductaces are symmetrcal cosderg the 8x6 topology. I order to vestgate the ductaces of the 6x4 topology mache a secod study was coducted wth the same procedures wth a 6x4 prototype. Cosderg a three phase SRM wth phases A, B ad C, Fg. 5 shows the self ductace of phase C (took as referece the measuremet procedure). Self fuctace of the mache 6 x Curret ( A ) 3 3 Curret (A) I d u c t a c e ( h e r y ) x -3 S e l f I d u c t a c e R o t o r a g u l a r p o s t o ( d e g ) C u r r e t ( A ) 35 4 Fg. Self ductace surface for phase D cosderg the 8x6 SRM. IIductace (hery) Rotor agular posto (deg) -5 Fg. 5 Self ductace surface for phase C cosderg the 6x4 SRM The same procedure used for the 8x6 prototype was appled the 6x4 mache. As a three phase mache, the symmetry occurs at the mutual ductaces aroud the referece phase (phase C). 4 6 Curret (A) RE&PQJ, Vol., No., Aprl

4 Fg. 6 shows the mutual ductace L CA obtaed for the 6x4 mache. Mutual Iductace L3 d d d3 v = R + L + L + L3 + dt dt dt L dθ L dθ L3 dθ dt dt dt (7) Fg. 6 Mutual ductace L CA cosderg the 6x4 SRM. Through the aalyss of the expermetal results s possble to verfy that the magtude of the mutual ductace may acheve values that exceed 6% of self ductace. The ext topc presets the smulato results that show the fluece of the mutual ductaces over the electrcal quattes of the SRM. 4. Smulatos The mathematcal model used to smulate the Swtched Reluctace Mache was developed ad preseted secto 3. The correspodg computg model was developed MATLAB/SIMULINK evromet order to compare the results wth ad wthout the mutual ductaces. Ths model s totally descrbed [4]. The 6x4 topology mache was smulated cosderg the mutual ductaces. I a secod tme they were ot. The smulato ra out cosderg the mache at 35 RPM speed ad wth a 48V DC exctato voltage sce ths value s appoted at automotve applcatos (electrc cars ad hybrd vehcles). The smulato tme was 5 secods, tme eough for the mache steady state operato. The voltage profle oe of the three phases s preseted Fg. 7, showg ts behavor wth ad wthout the mutual ductaces. v o l t a g e ( v o l t ) IIductace (hery) x -3 Rotor agular postor (deg) e x c t a t o g e e r a t o P h a s e c o l v o l t a g e s t a d b y Fg. 7 Phase voltage profle behavor for a 6x4 mache wth ad wthout the mutual ductaces. Based o equato (), the phase voltage s: Curret (A) 8 w t h the m u t u a l s w t h o u t t h e m u t u a l s Assumg as v, v, v 3, v 4, v 5, v 6 ad v 7 the terms preset the secod member of equato (7), v, v, ad v 5 are related to the phase col wch are cosdered smulato results show Fg. 7 as a straght le (dsregardg the mutual ductaces). The terms v 3, v 4, v 6 ad v 7 s from the mutual couplg betwee phases. These terms cosder the mutual ductace fluece ad the smulato result s show Fg. 7 as a dashed le. The frst term (v ) of the secod member (equato 7) s related to the voltage drop at col resstace. As the resstace s a costat the v profle s the same of the phase curret profle preseted Fg. 8 (v s tmes scaled order to mprove vsualzato). x V t e r m ( v o l t s ), ( v o l t ) V t e r m e q u a t o ( 7 ) -8 Fg. 8 Graphcal profle of v term of equato (7) tmes scaled. Ths term exsts durg the exctato ad geerato perod of the mache operato but t does t whe the phase col s ot eergzed. Ths occurs because the coverter swtches are off ad the free-wheelg dodes are reverse polarzato (so, the phase curret s ull). The term v depeds o self ductace (L ) ad phase curret dervatve. Fg. 9 (scaled for better vsualzato of self ductace ad phase curret) shows the profle of the v term. V a d ( v o l t ), x d u c t a c e ( H e r y ), 5 x p h a s e c u r r e t a f a s e ( A ) s V t e r m e q u a t o ( 7 ) Fg. 9 Term v, phase curret ad voltage. V t e r m se l f d u c t a c e p h a s e c u r r e t - It may be oted that the v chages at the flecto pot of the curret curve whe ts dervatve becomes egatve. As v ths term s ull whe the phase s tured off (closg the coverter swtches). V 34 RE&PQJ, Vol., No., Aprl

5 The term v 5 (whch also correspods to self ductace as well as v ad v ) s show Fg. V 5 t e r m a d ( v o l t s ) Fg. Term v 5 ad phase voltage. The agular speed ad curret are always postve, so, the sg of ths term s derved from the sg of the selfductace relatve to agular speed. As the lterature records, the SRM geerate power whe the phase s eergzed egatve dervatve of ductace. Because ths, the v 5 profle s egatve. Ths term gets ull value whe the coverter swtches are off ad whe phase curret s also ull. The terms v, v, e v 5 (prevously aalyzed) do t deped drectly o mutual ductaces. Besdes, t may be observed that terms v, v, e v 5 flueces the voltage durg the exctato ad geerato perods, but there s o terferece whe the coverter swtched are off. Fg. shows the term v 3 compared wth phase voltage. V 3 t e r m a d ( v o l t ) V 5 t e r m e q u a t o ( 7 ) -4 V 3 t e r m e q u a t o ( 7 ) Fg. - Term v 3 ad voltage o the phase col. V 5 t e r m V 3 t e r m The term v 3 flueces the phase voltage whe the coverter swtches are off ad durg the exctato perod, but t seems to have lttle or oe terferece o phase voltage durg the exctato perod. Ideed, the terms that depeds o curret of the ext phase to be eergzed (cosderg the mache operato) lke v 3 e v 6 duce voltage o the referece phase durg the exctato perod ad whe the coverter swtches are off. Also, the terms that deped o curret of the prevous phase (v 4 e v 7 ) duce voltage durg the geerato perod ad whe the coverter swtches are off. I the same way, Fg. compares the term v 4 wth phase voltage. x V 4 t e r m a d ( v o l t ) Fg. Term v 4 ad phase voltage. The term v 4 flueces the voltage durg geerato perod ad whe the coverter swtches are off ad has o terferece durg the exctato perod. The terms v 6 ad v 7 are compared to col voltage fgures 3 ad 4, respectvely. V 6 te r m a d ( v o l t ) V 3 t e r m a d ( v o l t ) V 4 t er m e q u a t o ( 7 ) V 6 t e rm e q u a t o ( 7 ) Fg. 3 Term v 6 ad phase voltage. Fg. 4 Term v 7 ad phase voltage. V 4 t e r m V 6 t e r m V 7 t e r m e q u a t o ( 7 ) V 7 t e r m -8 These are the terms that deped o mutual ductace dervatve (L e L 3 ). The term v 5 deped o self ductace dervatve. These three terms (v 5, v 6 ad v 7 ) composes part of equato (7) wch depeds o agular speed. Thus, the phase voltage varato related to the agular speed also depeds o mutual ductaces behavor. Fgures 5 ad 6 sythesze the comparso betwee smulato results whe the mutual ductaces are cosdered ad whe they do t (cosderg geerator operato) RE&PQJ, Vol., No., Aprl

6 P o w e r ( w a t t ) Fg. 5 Power geerated by the SRG (5 secods smulato tme) wth ad wthout mutual ductaces. Usg the ductaces expermetal results, there s a expectato about a greater power geerato whe the mutual ductaces are cosdered. The dfferece s about 3 watts agast 78 watts the power geerated by the mache, wch correspods a 8,6% devato. The devato magtude represets a value that pots to the mutual ductaces cosderato. Besdes, computer smulato correspods to the tal process of mache maufacturg. Thus, the correct computg model ca acheve mproved values for the mache desg. The 8x6 mache was also smulated wth ad wthout the mutual ductaces cosderg the prevous behavors show fgures, 3 ad 4. The results was verfed ad they show smlar results related to the 6x4 mache. Fg. 6 shows the power geerated by the 8x6 mache whe the mutual ductaces are cosdered ad whe they do t. p ower ( w a t t ) t me ( s e c ) Fg. 6 Power geerated by the 8x6 mache wth ad wthout the mutual ductace. The devato was 46,6 watts agast 49,5 watts wch correspods a varato of 5,% whe the mutual ductaces are cosdered. 4. Cocluso G e e r a t e d P o w e r w t h a d w t h o u t m u t u a l d u c t a c e s Geerated Power wth ad wthout the mutual ductaces w t h m u t u a l s w t h o u t m u t u a l s Wthout mutuals Wth mutuals Ths paper preseted a aalyss about the mutual ductaces of Swtched Reluctace Geerators. Mutual ductaces profles were preseted potg that they magtude s greater tha expected, cotradctg prevous related studes. The power geerated showed a crease of 8,6% the smulato results of the 6x4 topology mache, whle the 8x6 mache smulato resulted a crease of 5,% the power geerated. Thus, cosderg mutual ductaces of Swtched Reluctace Maches (operatg as geerator) results optmzed desgs ad smulatos. Ths s a mportat pot cosderg smulato as a tal step of mache maufacturg. The graphcal results preseted fgures 7 through 4 pots that mutual ductaces cause a couplg betwee mache phases fluecg the phase s voltages waveforms. Thus, ths behavor ca be used order to mplemet sesorless techques despsg optcal sesors, wch s a exemple of applcato. Oce there s ot a drect method to preset expermetal results that cofrm the creasg power geerato whe mutual ductaces are take to accout, ths study s a step toward ew uderstadg of dyamc behavor of the Swtched Reluctace Mache operatg as geerator. Due to the er features of the ductaces, coclusos about them deped o the cofguratos of the mache tested, but ot deped o ts dmesos, ad so, the results preseted here, gotte from two maches of HP class should be vald for larger maches. Ackowledgemet The authors thak Uversdade Estadual de Goás, Uversdade Federal de Uberlâda ad Potfíca Uversdade Católca de Goás. Refereces [] Das, R.J., Coelho, A., Fleury, A.V.S., About phases depedece a swtched reluctace geerator, ICREPQ 8 Iteratoal Coferece o Reewable Eerges ad Power Qualty, electroc md records, March, -4, 8; : Reewable Eergy ad Power Qualty Joural, ISSN 7-38X, March 8 edto. [] Adrade, D. A., Costa, R.S., Texera, R.S., Fleury, A.V., Eergy Effcecy for Fractoal Power Loads, IEEE Idustry Applcato Socety Magaze, vol, um 6, November/December 6, pp. -, ISSN [3] Fleury, A.V.S., Adrade, D.A., Svera, A.W.F.V., Expermetal Measuremet ad Aalyss of the Self ad Mutual Iductaces Two Dfferet Swtched Reluctace Maches, Iteratoal Coferece o Reewable Eerges ad Power Qualty,, Graada - Spa. Record of the ICREPQ, ; : Reewable Eergy ad Power Qualty Joural, Aprl edto. [4] Das, R. J., Adrade, D. A., Cabral, L. G., Slvera, A. W. F. V., Slvera, A. F. V., Gomes, L. C., Bssoch, C. A., Modelg, smulato ad Comparatve Study Betwee a Sgle-Phase Swtched Reluctace Mache (6x6) ad a Three- Phase Swtched Reluctace Mache, : Reewable Eergy ad Power Qualty Joural, No.9, th May. RE&PQJ-8 ISSN 7-38X. [5] de Paula, P.P.; da Slva, W.M.; Cardoso, J.R.; Nabeta, S.I., Assessmet of the Iflueces of the Mutual Iductaces o Swtched Reluctace Maches Performace, : Electrc Maches ad Drves Coferece, 3. IEMDC'3. IEEE Iteratoal vol 3, page(s): [6] Krshamurthy, M.; Fahm, B.; Edrgto, C.S.; O the Measuremet of Mutual Iductace for aswtched Reluctace Mache, : Power Electrocs Specalsts Coferece, 6. PESC'6, 37th IEEE, Page(s): RE&PQJ, Vol., No., Aprl

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

Lecture 2 - What are component and system reliability and how it can be improved?

Lecture 2 - What are component and system reliability and how it can be improved? Lecture 2 - What are compoet ad system relablty ad how t ca be mproved? Relablty s a measure of the qualty of the product over the log ru. The cocept of relablty s a exteded tme perod over whch the expected

More information

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg

More information

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits

Block-Based Compact Thermal Modeling of Semiconductor Integrated Circuits Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

A tighter lower bound on the circuit size of the hardest Boolean functions

A tighter lower bound on the circuit size of the hardest Boolean functions Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the

More information

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy Bouds o the expected etropy ad KL-dvergece of sampled multomal dstrbutos Brado C. Roy bcroy@meda.mt.edu Orgal: May 18, 2011 Revsed: Jue 6, 2011 Abstract Iformato theoretc quattes calculated from a sampled

More information

A Method for Damping Estimation Based On Least Square Fit

A Method for Damping Estimation Based On Least Square Fit Amerca Joural of Egeerg Research (AJER) 5 Amerca Joural of Egeerg Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-7, pp-5-9 www.ajer.org Research Paper Ope Access A Method for Dampg Estmato

More information

Physics 114 Exam 2 Fall Name:

Physics 114 Exam 2 Fall Name: Physcs 114 Exam Fall 015 Name: For gradg purposes (do ot wrte here): Questo 1. 1... 3. 3. Problem Aswer each of the followg questos. Pots for each questo are dcated red. Uless otherwse dcated, the amout

More information

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

Confidence Intervals for Double Exponential Distribution: A Simulation Approach

Confidence Intervals for Double Exponential Distribution: A Simulation Approach World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Physcal ad Mathematcal Sceces Vol:6, No:, 0 Cofdece Itervals for Double Expoetal Dstrbuto: A Smulato Approach M. Alrasheed * Iteratoal Scece

More information

A New Family of Transformations for Lifetime Data

A New Family of Transformations for Lifetime Data Proceedgs of the World Cogress o Egeerg 4 Vol I, WCE 4, July - 4, 4, Lodo, U.K. A New Famly of Trasformatos for Lfetme Data Lakhaa Watthaacheewakul Abstract A famly of trasformatos s the oe of several

More information

Newton s Power Flow algorithm

Newton s Power Flow algorithm Power Egeerg - Egll Beedt Hresso ewto s Power Flow algorthm Power Egeerg - Egll Beedt Hresso The ewto s Method of Power Flow 2 Calculatos. For the referece bus #, we set : V = p.u. ad δ = 0 For all other

More information

Can we take the Mysticism Out of the Pearson Coefficient of Linear Correlation?

Can we take the Mysticism Out of the Pearson Coefficient of Linear Correlation? Ca we tae the Mstcsm Out of the Pearso Coeffcet of Lear Correlato? Itroducto As the ttle of ths tutoral dcates, our purpose s to egeder a clear uderstadg of the Pearso coeffcet of lear correlato studets

More information

Introduction to local (nonparametric) density estimation. methods

Introduction to local (nonparametric) density estimation. methods Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest

More information

A Study of the Reproducibility of Measurements with HUR Leg Extension/Curl Research Line

A Study of the Reproducibility of Measurements with HUR Leg Extension/Curl Research Line HUR Techcal Report 000--9 verso.05 / Frak Borg (borgbros@ett.f) A Study of the Reproducblty of Measuremets wth HUR Leg Eteso/Curl Research Le A mportat property of measuremets s that the results should

More information

Analysis of Lagrange Interpolation Formula

Analysis of Lagrange Interpolation Formula P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal

More information

Analysis of Variance with Weibull Data

Analysis of Variance with Weibull Data Aalyss of Varace wth Webull Data Lahaa Watthaacheewaul Abstract I statstcal data aalyss by aalyss of varace, the usual basc assumptos are that the model s addtve ad the errors are radomly, depedetly, ad

More information

Simple Linear Regression

Simple Linear Regression Statstcal Methods I (EST 75) Page 139 Smple Lear Regresso Smple regresso applcatos are used to ft a model descrbg a lear relatoshp betwee two varables. The aspects of least squares regresso ad correlato

More information

MOLECULAR VIBRATIONS

MOLECULAR VIBRATIONS MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean

Comparison of Dual to Ratio-Cum-Product Estimators of Population Mean Research Joural of Mathematcal ad Statstcal Sceces ISS 30 6047 Vol. 1(), 5-1, ovember (013) Res. J. Mathematcal ad Statstcal Sc. Comparso of Dual to Rato-Cum-Product Estmators of Populato Mea Abstract

More information

Chapter Business Statistics: A First Course Fifth Edition. Learning Objectives. Correlation vs. Regression. In this chapter, you learn:

Chapter Business Statistics: A First Course Fifth Edition. Learning Objectives. Correlation vs. Regression. In this chapter, you learn: Chapter 3 3- Busess Statstcs: A Frst Course Ffth Edto Chapter 2 Correlato ad Smple Lear Regresso Busess Statstcs: A Frst Course, 5e 29 Pretce-Hall, Ic. Chap 2- Learg Objectves I ths chapter, you lear:

More information

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Numercal Computg -I UNIT SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Structure Page Nos..0 Itroducto 6. Objectves 7. Ital Approxmato to a Root 7. Bsecto Method 8.. Error Aalyss 9.4 Regula Fals Method

More information

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines

Solving Constrained Flow-Shop Scheduling. Problems with Three Machines It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632

More information

Long blade vibration model for turbine-generator shafts torsional vibration analysis

Long blade vibration model for turbine-generator shafts torsional vibration analysis Avalable ole www.ocpr.co Joural of Checal ad Pharaceutcal Research, 05, 7(3):39-333 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Log blade vbrato odel for turbe-geerator shafts torsoal vbrato aalyss

More information

Some Notes on the Probability Space of Statistical Surveys

Some Notes on the Probability Space of Statistical Surveys Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty

More information

Comparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates

Comparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates Joural of Moder Appled Statstcal Methods Volume Issue Artcle 8 --03 Comparso of Parameters of Logormal Dstrbuto Based O the Classcal ad Posteror Estmates Raja Sulta Uversty of Kashmr, Sragar, Ida, hamzasulta8@yahoo.com

More information

On the Modeling and Simulation of Collision and Collision-Free Motion for Planar Robotic Arm Galia V. Tzvetkova

On the Modeling and Simulation of Collision and Collision-Free Motion for Planar Robotic Arm Galia V. Tzvetkova Iteratoal Joural of Egeerg Research & Scece (IJOER [Vol-, Issue-9, December- 25] O the Modelg ad Smulato of Collso ad Collso-Free Moto for Plaar Robotc Arm Gala V. Tzvetova Isttute of mechacs, Bulgara

More information

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

Simulation Output Analysis

Simulation Output Analysis Smulato Output Aalyss Summary Examples Parameter Estmato Sample Mea ad Varace Pot ad Iterval Estmato ermatg ad o-ermatg Smulato Mea Square Errors Example: Sgle Server Queueg System x(t) S 4 S 4 S 3 S 5

More information

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods Malaysa Umodalty Joural Tests of Mathematcal for Global Optmzato Sceces (): of 05 Sgle - 5 Varable (007) Fuctos Usg Statstcal Methods Umodalty Tests for Global Optmzato of Sgle Varable Fuctos Usg Statstcal

More information

Progress In Electromagnetics Research C, Vol. 26, , 2012

Progress In Electromagnetics Research C, Vol. 26, , 2012 Progress I Electromagetcs Research C, Vol 6, 67 79, 0 THE CLOSE-FORM SOLUTION FOR SYMMETRIC BUTLER MATRICES C Leclerc,, *, H Aubert,, A Al,, A Aab 3, ad M Romer 4 CNRS; LAAS; 7 Aveue Du Coloel Roche, Toulouse

More information

Analysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems

Analysis of System Performance IN2072 Chapter 5 Analysis of Non Markov Systems Char for Network Archtectures ad Servces Prof. Carle Departmet of Computer Scece U Müche Aalyss of System Performace IN2072 Chapter 5 Aalyss of No Markov Systems Dr. Alexader Kle Prof. Dr.-Ig. Georg Carle

More information

FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM

FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Joural of Appled Matematcs ad Computatoal Mecacs 04, 3(4), 7-34 FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Ata Cekot, Stasław Kukla Isttute of Matematcs, Czestocowa Uversty of Tecology Częstocowa,

More information

Chapter 13 Student Lecture Notes 13-1

Chapter 13 Student Lecture Notes 13-1 Chapter 3 Studet Lecture Notes 3- Basc Busess Statstcs (9 th Edto) Chapter 3 Smple Lear Regresso 4 Pretce-Hall, Ic. Chap 3- Chapter Topcs Types of Regresso Models Determg the Smple Lear Regresso Equato

More information

Chapter 8. Inferences about More Than Two Population Central Values

Chapter 8. Inferences about More Than Two Population Central Values Chapter 8. Ifereces about More Tha Two Populato Cetral Values Case tudy: Effect of Tmg of the Treatmet of Port-We tas wth Lasers ) To vestgate whether treatmet at a youg age would yeld better results tha

More information

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test Fal verso The teral structure of atural umbers oe method for the defto of large prme umbers ad a factorzato test Emmaul Maousos APM Isttute for the Advacemet of Physcs ad Mathematcs 3 Poulou str. 53 Athes

More information

Manipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department

Manipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department Mapulator Dyamcs mrkabr Uversty of echology omputer Egeerg formato echology Departmet troducto obot arm dyamcs deals wth the mathematcal formulatos of the equatos of robot arm moto. hey are useful as:

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

Control of Line Side Converter for Doubly Fed Induction Generator with Active Power Filter and Load Balancing

Control of Line Side Converter for Doubly Fed Induction Generator with Active Power Filter and Load Balancing S. Wagsathtwog et al. / GMSARN Iteratoal Joural (009) 65-7 Cotrol of e Sde Coverter for Doubly Fed Iducto Geerator wth Actve Power Flter ad oad Balacg S. Wagsathtwog, S. Srsumraukul, S. Chatrataa, ad W.

More information

Bayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information

Bayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information Malaysa Joural of Mathematcal Sceces (): 97- (9) Bayes Estmator for Expoetal Dstrbuto wth Exteso of Jeffery Pror Iformato Hadeel Salm Al-Kutub ad Noor Akma Ibrahm Isttute for Mathematcal Research, Uverst

More information

Bootstrap Method for Testing of Equality of Several Coefficients of Variation

Bootstrap Method for Testing of Equality of Several Coefficients of Variation Cloud Publcatos Iteratoal Joural of Advaced Mathematcs ad Statstcs Volume, pp. -6, Artcle ID Sc- Research Artcle Ope Access Bootstrap Method for Testg of Equalty of Several Coeffcets of Varato Dr. Navee

More information

Periodic Table of Elements. EE105 - Spring 2007 Microelectronic Devices and Circuits. The Diamond Structure. Electronic Properties of Silicon

Periodic Table of Elements. EE105 - Spring 2007 Microelectronic Devices and Circuits. The Diamond Structure. Electronic Properties of Silicon EE105 - Srg 007 Mcroelectroc Devces ad Crcuts Perodc Table of Elemets Lecture Semcoductor Bascs Electroc Proertes of Slco Slco s Grou IV (atomc umber 14) Atom electroc structure: 1s s 6 3s 3 Crystal electroc

More information

CHAPTER VI Statistical Analysis of Experimental Data

CHAPTER VI Statistical Analysis of Experimental Data Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca

More information

Lecture Notes Types of economic variables

Lecture Notes Types of economic variables Lecture Notes 3 1. Types of ecoomc varables () Cotuous varable takes o a cotuum the sample space, such as all pots o a le or all real umbers Example: GDP, Polluto cocetrato, etc. () Dscrete varables fte

More information

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen.

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen. .5 x 54.5 a. x 7. 786 7 b. The raked observatos are: 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.. Sce the sample sze 7 s odd, the meda s the (+)/ 4 th raked observato, or meda 7.8 c. The cosumer would more lkely

More information

Descriptive Statistics

Descriptive Statistics Page Techcal Math II Descrptve Statstcs Descrptve Statstcs Descrptve statstcs s the body of methods used to represet ad summarze sets of data. A descrpto of how a set of measuremets (for eample, people

More information

1. A real number x is represented approximately by , and we are told that the relative error is 0.1 %. What is x? Note: There are two answers.

1. A real number x is represented approximately by , and we are told that the relative error is 0.1 %. What is x? Note: There are two answers. PROBLEMS A real umber s represeted appromately by 63, ad we are told that the relatve error s % What s? Note: There are two aswers Ht : Recall that % relatve error s What s the relatve error volved roudg

More information

ECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013

ECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013 ECE 595, Secto 0 Numercal Smulatos Lecture 9: FEM for Electroc Trasport Prof. Peter Bermel February, 03 Outle Recap from Wedesday Physcs-based devce modelg Electroc trasport theory FEM electroc trasport

More information

On Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros

On Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros It. Joural of Math. Aalyss, Vol. 7, 2013, o. 20, 983-988 HIKARI Ltd, www.m-hkar.com O Modfed Iterval Symmetrc Sgle-Step Procedure ISS2-5D for the Smultaeous Icluso of Polyomal Zeros 1 Nora Jamalud, 1 Masor

More information

The E vs k diagrams are in general a function of the k -space direction in a crystal

The E vs k diagrams are in general a function of the k -space direction in a crystal vs dagram p m m he parameter s called the crystal mometum ad s a parameter that results from applyg Schrödger wave equato to a sgle-crystal lattce. lectros travelg dfferet drectos ecouter dfferet potetal

More information

UNIVERSITY OF CALIFORNIA, BERKELEY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES. Midterm I

UNIVERSITY OF CALIFORNIA, BERKELEY DEPARTMENT OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES. Midterm I UNIVERSITY OF CALIFORNIA, BERKELEY EPARTMENT OF ELECTRICAL ENGINEERING AN COMPUTER SCIENCES EECS 130 Professor Chemg Hu Fall 009 Mdterm I Name: Closed book. Oe sheet of otes s allowed. There are 8 pages

More information

MEASURES OF DISPERSION

MEASURES OF DISPERSION MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda

More information

(Monte Carlo) Resampling Technique in Validity Testing and Reliability Testing

(Monte Carlo) Resampling Technique in Validity Testing and Reliability Testing Iteratoal Joural of Computer Applcatos (0975 8887) (Mote Carlo) Resamplg Techque Valdty Testg ad Relablty Testg Ad Setawa Departmet of Mathematcs, Faculty of Scece ad Mathematcs, Satya Wacaa Chrsta Uversty

More information

Lecture 5: Interpolation. Polynomial interpolation Rational approximation

Lecture 5: Interpolation. Polynomial interpolation Rational approximation Lecture 5: Iterpolato olyomal terpolato Ratoal appromato Coeffcets of the polyomal Iterpolato: Sometme we kow the values of a fucto f for a fte set of pots. Yet we wat to evaluate f for other values perhaps

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

Dynamic Analysis of Axially Beam on Visco - Elastic Foundation with Elastic Supports under Moving Load

Dynamic Analysis of Axially Beam on Visco - Elastic Foundation with Elastic Supports under Moving Load Dyamc Aalyss of Axally Beam o Vsco - Elastc Foudato wth Elastc Supports uder Movg oad Saeed Mohammadzadeh, Seyed Al Mosayeb * Abstract: For dyamc aalyses of ralway track structures, the algorthm of soluto

More information

Lecture 8: Linear Regression

Lecture 8: Linear Regression Lecture 8: Lear egresso May 4, GENOME 56, Sprg Goals Develop basc cocepts of lear regresso from a probablstc framework Estmatg parameters ad hypothess testg wth lear models Lear regresso Su I Lee, CSE

More information

PTAS for Bin-Packing

PTAS for Bin-Packing CS 663: Patter Matchg Algorthms Scrbe: Che Jag /9/00. Itroducto PTAS for B-Packg The B-Packg problem s NP-hard. If we use approxmato algorthms, the B-Packg problem could be solved polyomal tme. For example,

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

Multiple Choice Test. Chapter Adequacy of Models for Regression

Multiple Choice Test. Chapter Adequacy of Models for Regression Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to

More information

Analyzing Fuzzy System Reliability Using Vague Set Theory

Analyzing Fuzzy System Reliability Using Vague Set Theory Iteratoal Joural of Appled Scece ad Egeerg 2003., : 82-88 Aalyzg Fuzzy System Relablty sg Vague Set Theory Shy-Mg Che Departmet of Computer Scece ad Iformato Egeerg, Natoal Tawa versty of Scece ad Techology,

More information

6.4.5 MOS capacitance-voltage analysis

6.4.5 MOS capacitance-voltage analysis 6.4.5 MOS capactace-voltage aalyss arous parameters of a MOS devce ca be determed from the - characterstcs.. Type of substrate dopg. Isulator capactace = /d sulator thckess d 3. The mmum depleto capactace

More information

Module 7: Probability and Statistics

Module 7: Probability and Statistics Lecture 4: Goodess of ft tests. Itroducto Module 7: Probablty ad Statstcs I the prevous two lectures, the cocepts, steps ad applcatos of Hypotheses testg were dscussed. Hypotheses testg may be used to

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

Heat-Integrated Distillation Columns -Analysis and Modellingwith. Advanced Distillation as Supporting Subject

Heat-Integrated Distillation Columns -Analysis and Modellingwith. Advanced Distillation as Supporting Subject Norwega Uversty Of Scece ad Techology Faculty of Egeerg ad Techology Uversty of Belgrade Faculty of Mechacal Egeerg Isttute for Eergy Techology The log-term co-operatve project Master Degree Program: Sustaable

More information

We have already referred to a certain reaction, which takes place at high temperature after rich combustion.

We have already referred to a certain reaction, which takes place at high temperature after rich combustion. ME 41 Day 13 Topcs Chemcal Equlbrum - Theory Chemcal Equlbrum Example #1 Equlbrum Costats Chemcal Equlbrum Example #2 Chemcal Equlbrum of Hot Bured Gas 1. Chemcal Equlbrum We have already referred to a

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS Course Project: Classcal Mechacs (PHY 40) Suja Dabholkar (Y430) Sul Yeshwath (Y444). Itroducto Hamltoa mechacs s geometry phase space. It deals

More information

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET Abstract. The Permaet versus Determat problem s the followg: Gve a matrx X of determates over a feld of characterstc dfferet from

More information

Chapter 11 Systematic Sampling

Chapter 11 Systematic Sampling Chapter stematc amplg The sstematc samplg techue s operatoall more coveet tha the smple radom samplg. It also esures at the same tme that each ut has eual probablt of cluso the sample. I ths method of

More information

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system

Uniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system Iteratoal Joural of Egeerg ad Advaced Research Techology (IJEART) ISSN: 2454-9290, Volume-2, Issue-1, Jauary 2016 Uform asymptotcal stablty of almost perodc soluto of a dscrete multspeces Lotka-Volterra

More information

Investigating Cellular Automata

Investigating Cellular Automata Researcher: Taylor Dupuy Advsor: Aaro Wootto Semester: Fall 4 Ivestgatg Cellular Automata A Overvew of Cellular Automata: Cellular Automata are smple computer programs that geerate rows of black ad whte

More information

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model Lecture 7. Cofdece Itervals ad Hypothess Tests the Smple CLR Model I lecture 6 we troduced the Classcal Lear Regresso (CLR) model that s the radom expermet of whch the data Y,,, K, are the outcomes. The

More information

Bias Correction in Estimation of the Population Correlation Coefficient

Bias Correction in Estimation of the Population Correlation Coefficient Kasetsart J. (Nat. Sc.) 47 : 453-459 (3) Bas Correcto Estmato of the opulato Correlato Coeffcet Juthaphor Ssomboothog ABSTRACT A estmator of the populato correlato coeffcet of two varables for a bvarate

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

On the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros

On the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros It. Joural of Math. Aalyss, Vol. 7, 2013, o. 59, 2947-2951 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/ma.2013.310259 O the Iterval Zoro Symmetrc Sgle Step Procedure IZSS1-5D for the Smultaeous

More information

BAYESIAN INFERENCES FOR TWO PARAMETER WEIBULL DISTRIBUTION

BAYESIAN INFERENCES FOR TWO PARAMETER WEIBULL DISTRIBUTION Iteratoal Joural of Mathematcs ad Statstcs Studes Vol.4, No.3, pp.5-39, Jue 06 Publshed by Europea Cetre for Research Trag ad Developmet UK (www.eajourals.org BAYESIAN INFERENCES FOR TWO PARAMETER WEIBULL

More information

Chapter Two. An Introduction to Regression ( )

Chapter Two. An Introduction to Regression ( ) ubject: A Itroducto to Regresso Frst tage Chapter Two A Itroducto to Regresso (018-019) 1 pg. ubject: A Itroducto to Regresso Frst tage A Itroducto to Regresso Regresso aalss s a statstcal tool for the

More information

[ L] υ = (3) [ L] n. Q: What are the units of K in Eq. (3)? (Why is units placed in quotations.) What is the relationship to K in Eq. (1)?

[ L] υ = (3) [ L] n. Q: What are the units of K in Eq. (3)? (Why is units placed in quotations.) What is the relationship to K in Eq. (1)? Chem 78 Spr. M. Wes Bdg Polyomals Bdg Polyomals We ve looked at three cases of lgad bdg so far: The sgle set of depedet stes (ss[]s [ ] [ ] Multple sets of depedet stes (ms[]s, or m[]ss All or oe, or two-state

More information

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

Beam Warming Second-Order Upwind Method

Beam Warming Second-Order Upwind Method Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet

More information

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations HP 30S Statstcs Averages ad Stadard Devatos Average ad Stadard Devato Practce Fdg Averages ad Stadard Devatos HP 30S Statstcs Averages ad Stadard Devatos Average ad stadard devato The HP 30S provdes several

More information

Analysis of a Repairable (n-1)-out-of-n: G System with Failure and Repair Times Arbitrarily Distributed

Analysis of a Repairable (n-1)-out-of-n: G System with Failure and Repair Times Arbitrarily Distributed Amerca Joural of Mathematcs ad Statstcs. ; (: -8 DOI:.593/j.ajms.. Aalyss of a Reparable (--out-of-: G System wth Falure ad Repar Tmes Arbtrarly Dstrbuted M. Gherda, M. Boushaba, Departmet of Mathematcs,

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS

ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS ON THE MOTION OF PLANAR BARS SYSTEMS WITH CLEARANCES IN JOINTS Şl uv dr g Ja-Crsta GRIGORE, Uverstatea d Pteşt, strtîrgu dvale Nr Prof uv dr g Ncolae PANDREA, Uverstatea d Pteşt, strtîrgu dvale Nr Cof

More information

Research Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix

Research Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix Mathematcal Problems Egeerg Volume 05 Artcle ID 94757 7 pages http://ddoorg/055/05/94757 Research Artcle A New Dervato ad Recursve Algorthm Based o Wroska Matr for Vadermode Iverse Matr Qu Zhou Xja Zhag

More information

VOL. 3, NO. 11, November 2013 ISSN ARPN Journal of Science and Technology All rights reserved.

VOL. 3, NO. 11, November 2013 ISSN ARPN Journal of Science and Technology All rights reserved. VOL., NO., November 0 ISSN 5-77 ARPN Joural of Scece ad Techology 0-0. All rghts reserved. http://www.ejouralofscece.org Usg Square-Root Iverted Gamma Dstrbuto as Pror to Draw Iferece o the Raylegh Dstrbuto

More information

ENGI 3423 Simple Linear Regression Page 12-01

ENGI 3423 Simple Linear Regression Page 12-01 ENGI 343 mple Lear Regresso Page - mple Lear Regresso ometmes a expermet s set up where the expermeter has cotrol over the values of oe or more varables X ad measures the resultg values of aother varable

More information

Rademacher Complexity. Examples

Rademacher Complexity. Examples Algorthmc Foudatos of Learg Lecture 3 Rademacher Complexty. Examples Lecturer: Patrck Rebesch Verso: October 16th 018 3.1 Itroducto I the last lecture we troduced the oto of Rademacher complexty ad showed

More information

On Fuzzy Arithmetic, Possibility Theory and Theory of Evidence

On Fuzzy Arithmetic, Possibility Theory and Theory of Evidence O Fuzzy rthmetc, Possblty Theory ad Theory of Evdece suco P. Cucala, Jose Vllar Isttute of Research Techology Uversdad Potfca Comllas C/ Sata Cruz de Marceado 6 8 Madrd. Spa bstract Ths paper explores

More information

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems

An Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems [ype text] [ype text] [ype text] ISSN : 0974-7435 Volume 0 Issue 6 Boechology 204 Ida Joural FULL PPER BIJ, 0(6, 204 [927-9275] Research o scheme evaluato method of automato mechatroc systems BSRC Che

More information

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,

More information

Median as a Weighted Arithmetic Mean of All Sample Observations

Median as a Weighted Arithmetic Mean of All Sample Observations Meda as a Weghted Arthmetc Mea of All Sample Observatos SK Mshra Dept. of Ecoomcs NEHU, Shllog (Ida). Itroducto: Iumerably may textbooks Statstcs explctly meto that oe of the weakesses (or propertes) of

More information