A NEW CURRENT TRANSFORMER SATURATION DETECTION ALGORITHM
|
|
- Magdalene Thornton
- 5 years ago
- Views:
Transcription
1 A NEW CURRENT TRANSFORMER SATURATION DETECTION ALGORITHM CHAPTER 5 I uit protctio schms, whr CTs ar diffrtially coctd, th xcitatio charactristics of all CTs should b wll matchd. Th primary currt flow o ach of th CTs that ar parallld ad/or diffrtially coctd ca b gratly diffrt ad thrby th prformac calculatio is vry difficult. Modr bus/grator/trasformr protctio schm utilizs high impdac ovr-voltag rlays, low impdac ovrcurrt rlays, ad mdium impdac prctag rstrait rlays which rquir ddicatd CTs to sur propr opratio of rlays. Still, i may cass, protctio CTs ar ot slctd ad/or matchd proprly. Hc, xtral fault currt havig log DC tim costats lads to saturatio of CTs which i tur maloprats bus/trasformr diffrtial rlays. Th subsqut sub-sctios discuss problms coutrd by diffrt tchiqus, a w currt trasformr saturatio dtctio algorithm, tstig of th proposd CT saturatio dtctio algorithm usig fild data 5.1 INTRODUCTION Th diffrtial protctio ds to trip or ot withi short tim (ms dpds o th trasit compot of fault currt. This compots dcay vry slowly durig fault as pr tim costat of li. Hc, i powr systms, it is cssary to aalyz trasit prformac of CT for ddicatd diffrtial protctio schm. CT has to trasform primary currt to scodary sid i ormal as wll as faulty coditio ad its rlativ tolrac caot xcd th limits. Howvr, saturatio of CT may impact o its prformac durig its opratig stat. Most of th CTs us iro cor to maximiz th flux likag btw primary ad scodary widigs. Howvr, th oliar xcitatio charactristics ad ability to rtai larg flux (rmat flux i cors may lad CT to saturat. May studis o th aalysis of stady-stat ad trasit bhavior of iro-cord CTs hav b rportd i th litratur [105], [130], [182], [207]. 100
2 This chaptr puts forward a w CT saturatio dtctio tchiqu which dpds o saturatio dtctio idx (D that is drivd usig drivativs of currt sigals ad Nwto s backward diffrc formulas. 5.2 CURRENT STATE OF THE ART Though th mai fuctio of th protctiv CT is to faithfully trasform th maximum possibl currt udr ormal as wll as durig faulty coditios, its saturatio is ivitabl. Th amout of saturatio dpds o th magitud of fault currt, rmac flux, magitud of th DC compot, primary & scodary tim costat of CT ad burd o scodary sid of CT [24], [196]. Svral mthods hav b suggstd by rsarchrs for dtctio of CT saturatio. Kag t al. [200] prstd a algorithm basd o calculatio of flux availabl i cor of CT usig scodary currt. Howvr, th prim limitatio of this algorithm is that th valu of rmac flux rmais zro durig iitial calculatio which is ot tru i all situatios. Thraftr, Fradz t al. [39] proposd impdac-basd CT saturatio dtctio algorithm for busbar diffrtial protctio. But th rquirmt of both voltag ad currt sigals for dtctio of CT saturatio is th mai disadvatag of this schm. Latr o, Pa t al. [94] dscribd CT compsatio algorithm basd o covrsio of currt wavform distortd by CT saturatio to a compsatd currt wavform. Howvr, this schm is comparativ slowr tha othr schms as it rquirs o ad half cycl (aftr icptio of fault to calculat compsatd valu of currt. Villamaga t al. [139] suggstd a CT saturatio dtctio schm basd o th zro-squc diffrtial currt gradit with rspct to th bias currt. Howvr, th said algorithm may maloprat durig fault ot ivolvig groud as th amout of zro-squc diffrtial currt maily dpds o th ivolvmt of groud i th fault. Aftrwards, authors of rfrcs [203] ad [12] suggstd a CT saturatio dtctio schm basd o scod ad third currt diffrc fuctio. Nvrthlss, fixd valu of thrshold may ot b abl to dtct vry low saturatio coditio ad prsc of ois & harmoic durig fault coditio may maloprat th abov two schms. Thraftr, Hog t al. [209], [208] prstd Wavlt-basd tchiqus for CT saturatio dtctio. But suscptibility of Wavlt agaist ois which may prst durig fault is th fudamtal disadvatag of th said two schms. Latr o various rsarchrs hav proposd diffrt tchiqus of CT saturatio dtctio basd o ural twork (NN/combiatio of NN with othr artificial itlligc (AI tchiqus [47], [70], [194]. Howvr, larg 101
3 traiig sts, tdious traiig procss, ad a larg umbr of uros ar th svral disadvatags of th ural twork basd schms. Furthrmor, svral saturatio dtctio tchiqus hav also b proposd by rsarchrs usig diffrt approachs such as Taylor sris xpasio, mathmatical morphology, phasor computatios, wavform aalysis ad diffrc fuctios of CT scodary currt sampls [64], [197], [44], [13], [53]. Howvr, most of th abov schms may ot giv satisfactory rsults i cas of ivolvmt of dcayig DC compot, ois i fault currt ad rmac flux i th cor of CT. Morovr, th majority of ths schms hav ot b tstd i ral tim or usig actual fild data or i laboratory viromt. I ordr to rctify th said problm, a w algorithm for CT saturatio dtctio has b prstd i this chaptr. Th proposd schm has b tstd by gratig various saturatio cass o CT modl availabl i PSCAD/EMTDC softwar packag [84]. Subsqutly, th sam algorithm has also b validatd by dvlopig a tst bch of CT i laboratory viromt. 5.3 PROPOSED METHOD FOR CT SATURATION DETECTION Durig th ormal opratio of powr systm, CT rplicat fudamtal frqucy compot which is siusoid i atur. Howvr, th scodary currt may distortd durig powr systm fault which oft cotai a dcayig DC offst. Th drivativs of th scodary ca b subsqutly usd to ispct th wav shap proprtis of th currt sigal. Basd o this pricipl, a w idx has b drivd to dtct saturatio i various opratig coditio of CT. Th, th variatios of this idx alog with filtr durig typical fault currt/systm coditio hav b compard with adaptiv thrshold. Th subsqut sub-sctio dscribs th proposd pricipl ad dtctio algorithm Proposd Algorithm May factors such as DC compot i fault, siz of cor, flux dsity i cor, scodary burd tc, may lad to saturatio of th CT cor, ad caus sigificat distortio of th scodary currt wavform [02]. Figur 5.1 shows th simplifid quivalt circuit of a CT for trasit aalysis with th total impdac i scodary circuit i.. th sum of scodary lakag impdac, lad impdac, ad th load impdac, giv by Z b = (R b + jωl b. 102
4 i 1 i 2 i c i m i f L b R c L m R b Figur 5.1 Simplifid quivalt circuit of a CT for trasit aalysis Assum furthr that th magtizig impdac Z m is a paralll combiatio of th cor loss rsistac R c ad th magtizig iductac L m. Th primary currt i 1 (t durig trasit aalysis of CT ca b giv by, t / ΤP i 1( t = I max cos( ωt θ cosθ for t 0 (5.1 = 0 for t < 0 Whr, I max is th pak valu of siusoidal stady stat fault currt, T P is th primary tim-costat ad θ is th fault iitiatio agl. It has b assumd that th valu of prfault currt is almost zro bfor th icptio of th fault (t<0. Th scodary currt of CT is rprstd as, i (t = I i 2 max Rc cosθ (R +R c b t / Τ T T [ τ 2 (si ϕ cosϕ ta θ cos ϕ] ϕ t / Τ T cos ( ωτ *si( ωt θ ϕ τ T cosθ t / ΤS t / ΤP (t = A + B - C*si( ωt -θ - (5.2 2 ϕ Whr, ta ϕ = ωτ, τ = ( R clm + RbLm / Rb Rc T P ad T S ar primary ad scodary tim costat, rspctivly, ad A & B ar costats. I quatio (5.2, th first ad scod xpotial trms dcay with th tim costats T S ad T P, rspctivly, whras th magitud of th siusoidal trm is giv by, ωts C = I max ω TScosϕ = Imaxsiϕ = I max whr, taϕ = ωt S ( ( ωt Th discrt tim vrsio of i 2 (t is obtaid by cosidrig t=h. S 103
5 i H / Τ / 2π S H ΤP = A + B - C * si( - θ - ] (5.4 N 2 ϕ [ Whr, H is th samplig itrval, N is th umbr of sampls pr cycl ad is th rct sampl. Th first diffrc of i 2 [] is giv by quatio ( = i 2 [ ] = A(1 - i (H/T S 2[ -1] * ( H/T S + B(1 (H/T P * ( H/T P π 2π π π C 2si si θ ϕ + N N N 2 (5.5 If th samplig rat is 4 khz (80 sampls pr cycl for a powr systm frqucy of 50Hz, th samplig itrval H= 0.25ms. By cosidrig T S = 1s ad T P = 0.02s, th valu (H/T of (1 S (H/T ad (1 P ar xpotially rducd to ad , rspctivly [203], [64]. This idicats that th xpotial trms i 1 ar cosidrably rducd ad hav gligibl valus sic th tim costats ar larg. Ths valus ar furthr rducd for CTs of highr protctio class as th scodary tim costat of such CTs ar i th rag of 3 to 10s [64]. At th sam tim, th magitud of a siusoid trm π C 2si dpds o samplig rat N. N Th followig quatios ca b drivd for th scod, third & fourth diffrc of th CT scodary currt. 2 = = i2[] - 2i2[-1] + i2[ 2] = A(1 (H/Ts 2 (H/Ts +B(1 (H/Tp 2 (H/Tp 2 π 2π 2π C 2si si θ ϕ N N N (5.6 3 = = (5.7 = A(1 i2[] - 3 i2[-1] + 3i2[-2] - i2[- 3] (H/Ts 3 (H/Ts + B(1 (H/Tp 3 (H/Tp 3 π 2π 3π π C 2si si θ ϕ + N N N 2 104
6 4 = = i - 4 i + 6 i - 4 i + i (5.8 2[] = A(1 2[-1] (H/Ts 4 2[-2] (H/Ts 2[-3] + B(1 2[-4] (H/Tp 4 (H/Tp 4 π 2π 4π C 2si si θ ϕ N N N Dtaild aalysis of saturatio dtctio has b carrid out usig quatio (5.5 to quatio (5.8. Hr, it has b obsrvd that th accuracy of saturatio dtctio is stadily icrasd as o mov from 2- poit formulas (quatio-5.5 to 5- poit formulas (quatio-5.8. It is tru that ay furthr icras i formulas (byod 5-poit will dfiitly rduc saturatio dtctio rror. But at th sam tim it will ucssarily icras th amout of calculatio. Hc, author has drivd a saturatio dtctio idx (D usig quatios (5.5 to (5.8 ad Nwto s backward diffrc formulas [114]. Thy ar giv as: D 3 = + + H ( D 4 = H Whr, H is samplig itrval ( Takig th diffrc of quatios (5.9 & (5.10, a saturatio dtctio idx (D ca b calculatd ad giv by quatio (5.11. [ 0.25 i i i i ] 1 D = D 4 D 3 = 2[] 2[ -1] 2[ -2] 2[ -3] i 2[ - 4] (5.11 H Whr is rct sampl. This idx (D is compard with adaptiv thrshold (discussd i sctio to stimat start ad d poit of CT saturatio Coditio for CT Saturatio Dtctio π Th valu of D is much largr tha th costat trm C 2si availabl i N siusoidal part of quatio (5.8 durig CT saturatio. This trm is usd to driv adaptiv thrshold (T h alog with svral othr trms such as amout of maximum fault currt (I max stimatd usig Fourir algorithm ad safty factor (λ which dpds o low pass filtr. Hc, th adaptiv thrshold is giv as blow, 4 T h 4 π = λ * 2 *Imax * C * 2si (5.12 N 105
7 Th said valu of adaptiv thrshold is capabl to dtct small to havy saturatio coditio as it dpds o magitud of fault currt ad λ compard to th schm giv i [203] which uss fixd thrshold valu Proposd Saturatio Dtctio Flowchart Figur 5.2 shows th flowchart of th proposd algorithm. Iitially, currt sampls of bay CTs ar acquird by data acquisitio systm through first ordr low pass filtr which ffctivly rmovs th ois prst i th scodary currt. Th fault dtctio algorithm is usd to discrimiat btw th fault ad ormal coditio [170]. Start Rad Currt Sampls (I R, I Y ad I B of bay CTs Low Pass First Ordr Filtr Fault Dtctio Algorithm No Fault Dtctd? Nxt st of sampls Ys CT saturatio stimatio block Computatio of D ad T h as pr q. (6.11 ad (6.12, rspctivly No Is D > T h Ys CT saturatio dtctd/bgis Is D < T h Ys Ed of CT saturatio Figur 5.2 Algorithm of CT saturatio Dtctio Whvr a fault is dtctd by th fault dtctio algorithm, post fault sampls of all phass of coctd bay CTs ar st to th CT saturatio stimatio block. I this block, th valu of D is calculatd usig fiv poit formulas (quatio-5.11 for ach cycl ad is big cotiuously compard with adaptiv thrshold. Wh th valu of D xcds 106
8 thrshold valu, startig poit of CT saturatio is dtctd (D > T h ad thraftr d of saturatio is oticd wh th valu of D gos blow thrshold valu. 5.4 SYSTEM STUDY Figur 5.3 shows sigl li diagram of a portio of Idia powr systm twork cosistig of thr sourcs rprstd by Thvi s quivalt. Ths sourcs ar coctd to th commo bus through bay L1, L2 & L3, rspctivly. Th modl, as show i Figur 5.3, is simulatd usig th PSCAD/EMTDC softwar packags. G1 G2 L1 (80km L2 (50km CB1 CB2 CB3 CT L3 (100km G3 F xt1 F xt2 F xt3 Figur 5.3 Sigl li diagram of powr systm modl To validat th proposd algorithm, th CTs locatd o bay L3 ar aalyzd which uss Jils Athrto modl [188] availabl i PSCAD/EMTDC softwar packag. All th tst cass ar gratd by simulatig faults o bay L3 with varyig fault ad systm paramtrs. Ths paramtrs ar Fault Icptio Agl (FIA, fault rsistac (R f, typs of fault (Ftyp ad Fault Locatios (FL o li L3 (F x1, F x2, F x3. Th li ad sourc paramtrs ar giv i Appdix-E. Samplig frqucy of 4 khz, which is i th rag of th commo samplig frqucis i digital rlayig schm for a systm opratig at a frqucy of 50 Hz, is usd i this study. Morovr, th prformac of CT udr trasit coditio is also xamid with du cosidratio of ffct of burd rsistac, rmac flux, DC offst ad whit ois prst i currt sigal. 5.5 SIMULATION RESULTS OF DIFFERENT SATURATION CONDITIONS Th proposd CT saturatio dtctio mthod is vry fast cosidrig adaptiv thrshold. Howvr, just aftr fault icptio, CT scodary currt has a poit of iflctio. Hc, D may hav a larg valu at th xt sampl of a fault istat; th proposd algorithm may dtct this istat as th start of saturatio. To avoid malopratio udr this situatio, th proposd algorithm starts aftr a currt that xcds thr tims th ratd scodary currt for thr succssiv sampls [203]. I ordr to tst ffctivss of th proposd schm udr varyig systm coditios, a larg umbrs of simulatio cass hav b gratd. Diffrt paramtr 107
9 valus which hav b chos to produc th trasit rspos of CT ar rmac flux dsity, burd rsistac ad prsc of DC offst & ois. Cosidrig all ths paramtr valus, aroud 900 simulatios cass wr gratd ad th ffctivss of th proposd schm has b validatd for all ths tst cass. Howvr, th rsults of som sampl cass ar show i upcomig sctio Effct of DC Compot ad Scodary Burd o CT Saturatio Th ffct of CT saturatio for ay diffrtial protctio schm is of crucial importac particularly durig a high currt xtral fault. By chagig th CT scodary burd rsistac, diffrt dgrs of CT saturatio ca b obtaid [188]. Th prformac of th proposd schm durig CT saturatio is carrid out by simulatig diffrt faults o bay L3 at diffrt locatios (5 km, 10 km ad 20 km from th bus with varyig systm paramtrs. Figur 5.4 (a ad (b show th CT primary & scodary currt ad th valu of D & thrshold (T h, rspctivly, durig L-g fault (R-g o bay L3 at 20 km without CT saturatio ad DC compot. Figur 5.4 Wavform of CT primary & scodary currt ad valu of D & T h (a, (b without CT saturatio (c, (d with CT saturatio, rspctivly It has b obsrvd from Figur 5.4 (b that th magitud of D rmais wll blow th adaptiv thrshold throughout th fault tim ad hc, o saturatio is dtctd by th proposd algorithm. Figur 5.4 (c & (d show th prformac of th proposd 108
10 schm i prsc of dcayig DC compot alog with th valu of burd rsistac R b = 1 Ω. It is to b otd from Figur 5.4 (d that th valu of D crosss th thrshold valu aftr o cycl laps from poit of fault icptio (start of saturatio ad rmais abov th thrshold valu for xt thr succssiv cycls. Th saturatio ds wh th valu of D gos wll blow th thrshold valu. Furthr, i ordr to authticat th algorithm udr various dgrs of saturatio, th burd rsistac of CT scodary has b chagd. Figur 5.5 (a & (b ad (c & (d show th prformac of th proposd algorithm for L-L (R-Y fault o bay L3 at 5 km durig burd rsistac (R b quals to 3 Ω ad 6 Ω, rspctivly. It is to b otd from Figur 5.5 (b ad (d that th proposd schm is capabl to dtct svr CT saturatio coditio i prsc of dcayig DC compot. Figur 5.5 Wavform of CT primary & scodary currt ad valu of D & T h udr CT saturatio coditio (a, (b for R b = 3 Ω ad (c, (d for R b =6 Ω, rspctivly Effct of Rmat Flux o CT Saturatio Th amout of rmat flux i th cor dpds o factors such as magitud of primary currt, th burd o scodary circuit ad th amplitud & tim costat of dcayig DC compot. Dpdig upo th dirctio of flux stup i th cor durig th rgizatio of CT i prsc of rmat flux, a larg part of scodary currt of CT may saturat [196]. I this situatio, th prformac of protctiv class CT is iflucd by this rmac or rsidual magtism ad may rach up to 90% of th 109
11 saturatio flux [82]. Figur 5.6 (a & (b ad (c & (d show th primary & scodary currts ad valu of D & thrshold for a thr-phas (R-Y-B fault at 10 km o bay L3 durig 0.5 Ω burd rsistac with 0% ad 90% rmat flux dsity, rspctivly. This rmat flux dsity was st i th cor of CT prior to icptio of fault. It is to b otd from Figur 5.6 (b ad (d that th proposd algorithm is capabl to dtct th saturatio itrval (by comparig th valu of D ad thrshold irrspctiv of th lvl of rmac flux prviously prst i th cor of CT. Figur 5.6 Wavform of CT primary & scodary currt ad valu of D & T h durig (a, (b 0 % rmac flux ad (c, (d 90 % rmac flux, rspctivly Effct of Nois Suprimposd i Scodary Currt To valuat th proposd algorithm, acquird currt sigals from PSCAD/EMTDC softwar ar pollutd with whit Gaussia ois by cosidrig diffrt sigal-to-ois ratios (SNR i MATLAB viromt. Th SNRs ar st to 20db, 30db ad 40dB to pollut th origial currt sigals. Thraftr, ths oisy currt sigals ar filtrd by a low pass first ordr Buttrworth filtr which dimiishs th highr ordr harmoics ad ois. Th proposd algorithm is tstd by chagig th cut-off frqucy of th filtr for prfct saturatio dtctio. Iitially, cut-off frqucy was st to 1600 Hz ad it is gradually dcrasd up to 200 Hz with samplig frqucy of 4 KHz. Figur 5.7 (a & (b show th primary & scodary currt of CT ad valu of D & thrshold durig R-Y-g fault o bay L3 at 5 km with R b =3Ω, SNR=40 db ad cut off frqucy=300 Hz. It has 110
12 b obsrvd form Figur 5.7 (b that th proposd algorithm accuratly dtcts start ad d of saturatio. Hr, th magitud of D & thrshold ar cosidrably rducd at low cut-off frqucy du to which th proposd algorithm givs mor fficit rsults i trms of saturatio dtctio i th prsc of harmoics ad ois. Figur 5.7 (a wavform of CT primary & scodary currt ad (b valu of D & T h durig SNR=40db cotaid by CT scodary sigals Effct of Typs of Fault ad Fault Icptio Agl (FIA Th systm show i Figur 5.3 was subjctd to various typs of faults such as L-g, L-L, L-L-g ad L-L-L/L-L-L-g. Th rsults ar giv i Figur 5.4 to Figur 5.7 of subsctio-5.5. It has b obsrvd that th proposd algorithm dtcts CT saturatio coditio for both balacd ad ubalacd faults. I ordr to idtify th ffct of fault icptio agl (FIA o CT saturatio, various simulatio cass has b gratd by varyig th FIA btw 0 o to Figur 5.8 (a ad (b show th primary & scodary currt of CT ad valu of D & T h, for L-g (R-g fault applid at 5 km o bay L3 with R b = 3 Ω ad FIA θ=45 0. Th simulatio rsults for th sam fault coditio with FIA θ=135 0 ad R b = 5 Ω ar show i Figur 5.8 (c ad (d. It has b obsrvd from Figur 5.8 (b & (d that though th magitud of dcayig DC 111
13 compot is affctd by FIA, th proposd schm corrctly idtifis th start ad d poits of CT saturatio. Figur 5.8 Wavform of CT primary & scodary currt ad valu of D & T h durig (a, (b FIA θ=45 0 ad R b = 3 Ω ad (c, (d FIA θ=135 0 ad R b = 5 Ω, rspctivly 5.6 PRACTICAL VALIDATION OF THE PROPOSED ALGORITHM Hardwar Stup I ordr to valuat prformac of th proposd algorithm durig CT saturatio coditio, a laboratory tst bch, as show i Figur 5.9, is dvlopd. Hr, protctiv class (5P10 rsi cast typ CT havig CT ratio= 10/5 A, burd= 5 VA ad voltag ratig= 660 V is usd. Furthr, various quipmts such as rlay tstig kit, rhostat, switchs ad clamp-o mtr ar also usd for th dvlopmt of th said laboratory prototyp. Hr, tstig kit is usd to ijct high currt (0-250 A i th primary of CT ad variabl rhostat is usd as a scodary burd rsistac. I ordr to rcord ad compar th wavform of CT scodary currt, a high rsolutio four chal Digital Storag Oscilloscop (DSO is usd. I additio, clamp-o typ currt ssor prob is also usd which covrts CT scodary currt sigals ito quivalt voltag sigals. Thraftr, ths data ar giv to DSO whr a samplig is carrid out at a rat of 80 sampls/cycl. Subsqutly, ths sampld data ar loadd i MATLAB softwar usig USB port of DSO ad furthr utilizd for tstig of th proposd CT saturatio dtctio algorithm. 112
14 Figur 5.9 Hardwar stup of laboratory tst bch Rsults of Prototyp I ordr to validat th proposd algorithm, various cass hav b gratd usig th said laboratory prototyp by chagig burd rsistac from 0 Ω to 12 Ω ad primary currt of CT from 10 A to 120 A. Figur 5.10 (a shows th wavform of CT scodary currt durig saturatio alog with zoomd viw of crtai portio of sigal capturd by DSO durig 100 A primary currt ad R b =12 Ω. Figur 5.10 (a CT scodary currt sigal of DSO durig 100 A primary currt ad 12 Ω burd rsistac ad (b algorithm rsults i trm of D ad T h for th said coditio 113
15 Th prformac of th proposd algorithm i trms of D ad T h ar show i Figur 5.10 (b for th zoomd viw of slctd portio as show i Figur 5.10 (a. It has b obsrvd from Figur 5.10 (b that th proposd schm corrctly dtcts svr CT saturatio coditio as th valu of dtctio idx xcds thrshold valu (dtcts oly startig poit as thr is o d poit for th collctd data. 5.7 COMPARISON OF THE PROPOSED ALGORITHM WITH EXISTING SCHEME It has b obsrvd by th author that th schms basd o scod ad third diffrc fuctios of th sampld currt sigals [64], [203] may ot b abl to idtify th d poit of saturatio. Morovr, th abov two schms may maloprat i cas of vry low saturatio of CT, particularly durig havy load variatio. Covrsly, th proposd algorithm provids accurat rsult irrspctiv of lvl of saturatio. This fact ca b asily udrstood by obsrvig th comparativ valuatio of th abov two schms with th proposd schm as show i Figur Figur 5.11 (a CT primary & scodary currt, (b valu of dl 2 & T h1 durig scod diffrc [64], (c valu of dl 3 & T h2 durig third diffrc [203], (d valu of D ad T h for proposd algorithm Th CT primary & scodary currt durig B-g fault o bay L3 at 50 km with mior CT saturatio havig R b =0.06 Ω is show Figur 5.11 (a. Th magitud of drivativ (Dl 2, Dl 3 ad D & thrshold (T h1, T h2 ad T h durig scod diffrc of th sampld currts (quatio-5.6 [64], third diffrc of th sampld currts 114
16 (quatio-5.7 [203] ad usig fiv poit formulas of th proposd algorithm (quatio ar show i Figur 5.11 (b, (c ad (d, rspctivly. It is to b otd from Figur 5.11 (b ad (c that th valu of Dl 2 ad Dl 3 rmais wll blow th rspctiv thrshold T h1 ad T h2 udr mior CT saturatio coditio. O th othr had, as show i Figur 5.11 (d, th proposd algorithm accuratly dtcts th saturatio itrval. 5.8 CONCLUSION I this chaptr, a w CT saturatio dtctio algorithm has b prstd. Th proposd algorithm dpds o a saturatio dtctio idx (D which is drivd usig drivativs of currt sigals ad fiv poit Nwto s backward diffrc formulas. Iitially, th saturatio dtctio idx (D is drivd usig drivativ of CT scodary currts. Basd o th maximum fault, ssitivity of filtr ad samplig rat a adaptiv thrshold is dcidd. Th calculatd idx is cotiuously compard with th adaptiv thrshold (T h to stimat start ad d poit of CT saturatio. I ordr to improv accuracy of th proposd schm, a low-pass first ordr Buttrworth filtr is usd to supprss ois ad harmoics which may prst i CT scodary currt. Th validatio of th proposd algorithm is carrid out by gratig various simulatio cass cosidrig CT modl availabl i PSCAD/EMDC softwar packags. Ths cass ar gratd by varyig paramtrs such as rmac flux, FIA, burd rsistac ad prsc of DC offst & ois. Th proposd algorithm is also validatd by producig various CT saturatio cass i laboratory viromt usig dvlopd CT tst bch. Rsults obtaid from both simulatio ad hardwar stups idicat ffctivss of th proposd algorithm to dtct CT saturatio coditio. At th d, a comparativ valuatio of th proposd algorithm is also carrid out with th xistig schms ad its prformac is foud to b suprior compar to th xistig schms. Hc, th proposd algorithm ca b practically implmtd i a xistig digital diffrtial rlayig schm. 115
Discrete Fourier Transform (DFT)
Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial
More information1985 AP Calculus BC: Section I
985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b
More informationz 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z
Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist
More informationMONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx
MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of
More informationAPPENDIX: STATISTICAL TOOLS
I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.
More informationPart B: Transform Methods. Professor E. Ambikairajah UNSW, Australia
Part B: Trasform Mthods Chaptr 3: Discrt-Tim Fourir Trasform (DTFT) 3. Discrt Tim Fourir Trasform (DTFT) 3. Proprtis of DTFT 3.3 Discrt Fourir Trasform (DFT) 3.4 Paddig with Zros ad frqucy Rsolutio 3.5
More informationDTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1
DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT
More informationChapter 4 - The Fourier Series
M. J. Robrts - 8/8/4 Chaptr 4 - Th Fourir Sris Slctd Solutios (I this solutio maual, th symbol,, is usd for priodic covolutio bcaus th prfrrd symbol which appars i th txt is ot i th fot slctio of th word
More informationScattering Parameters. Scattering Parameters
Motivatio cattrig Paramtrs Difficult to implmt op ad short circuit coditios i high frqucis masurmts du to parasitic s ad Cs Pottial stability problms for activ dvics wh masurd i oopratig coditios Difficult
More informationChapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series
Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris
More informationPURE MATHEMATICS A-LEVEL PAPER 1
-AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio
More informationStatistics 3858 : Likelihood Ratio for Exponential Distribution
Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai
More informationChapter Taylor Theorem Revisited
Captr 0.07 Taylor Torm Rvisitd Atr radig tis captr, you sould b abl to. udrstad t basics o Taylor s torm,. writ trascdtal ad trigoomtric uctios as Taylor s polyomial,. us Taylor s torm to id t valus o
More informationAn Introduction to Asymptotic Expansions
A Itroductio to Asmptotic Expasios R. Shaar Subramaia Asmptotic xpasios ar usd i aalsis to dscrib th bhavior of a fuctio i a limitig situatio. Wh a fuctio ( x, dpds o a small paramtr, ad th solutio of
More informationOption 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.
Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt
More informationLectures 9 IIR Systems: First Order System
EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work
More informationA Simple Proof that e is Irrational
Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural
More informationReview Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2
MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm
More informationFrequency Measurement in Noise
Frqucy Masurmt i ois Porat Sctio 6.5 /4 Frqucy Mas. i ois Problm Wat to o look at th ct o ois o usig th DFT to masur th rqucy o a siusoid. Cosidr sigl complx siusoid cas: j y +, ssum Complx Whit ois Gaussia,
More informationDiscrete Fourier Transform. Nuno Vasconcelos UCSD
Discrt Fourir Trasform uo Vascoclos UCSD Liar Shift Ivariat (LSI) systms o of th most importat cocpts i liar systms thory is that of a LSI systm Dfiitio: a systm T that maps [ ito y[ is LSI if ad oly if
More informationProbability & Statistics,
Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said
More informationSession : Plasmas in Equilibrium
Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog
More informationH2 Mathematics Arithmetic & Geometric Series ( )
H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic
More informationThey must have different numbers of electrons orbiting their nuclei. They must have the same number of neutrons in their nuclei.
37 1 How may utros ar i a uclus of th uclid l? 20 37 54 2 crtai lmt has svral isotops. Which statmt about ths isotops is corrct? Thy must hav diffrt umbrs of lctros orbitig thir ucli. Thy must hav th sam
More informationLECTURE 13 Filling the bands. Occupancy of Available Energy Levels
LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad
More informationBipolar Junction Transistors
ipolar Juctio Trasistors ipolar juctio trasistors (JT) ar activ 3-trmial dvics with aras of applicatios: amplifirs, switch tc. high-powr circuits high-spd logic circuits for high-spd computrs. JT structur:
More informationTime : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120
Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,
More informationFigure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor
.8 NOISE.8. Th Nyquist Nois Thorm W ow wat to tur our atttio to ois. W will start with th basic dfiitio of ois as usd i radar thory ad th discuss ois figur. Th typ of ois of itrst i radar thory is trmd
More information15/03/1439. Lectures on Signals & systems Engineering
Lcturs o Sigals & syms Egirig Dsigd ad Prd by Dr. Ayma Elshawy Elsfy Dpt. of Syms & Computr Eg. Al-Azhar Uivrsity Email : aymalshawy@yahoo.com A sigal ca b rprd as a liar combiatio of basic sigals. Th
More informationWorksheet: Taylor Series, Lagrange Error Bound ilearnmath.net
Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.
More informationIdeal crystal : Regulary ordered point masses connected via harmonic springs
Statistical thrmodyamics of crystals Mooatomic crystal Idal crystal : Rgulary ordrd poit masss coctd via harmoic sprigs Itratomic itractios Rprstd by th lattic forc-costat quivalt atom positios miima o
More informationPeriodic Structures. Filter Design by the Image Parameter Method
Prioic Structurs a Filtr sig y th mag Paramtr Mtho ECE53: Microwav Circuit sig Pozar Chaptr 8, Sctios 8. & 8. Josh Ottos /4/ Microwav Filtrs (Chaptr Eight) microwav filtr is a two-port twork us to cotrol
More information6. Comparison of NLMS-OCF with Existing Algorithms
6. Compariso of NLMS-OCF with Eistig Algorithms I Chaptrs 5 w drivd th NLMS-OCF algorithm, aalyzd th covrgc ad trackig bhavior of NLMS-OCF, ad dvlopd a fast vrsio of th NLMS-OCF algorithm. W also mtiod
More informationFrequency Response & Digital Filters
Frquy Rspos & Digital Filtrs S Wogsa Dpt. of Cotrol Systms ad Istrumtatio Egirig, KUTT Today s goals Frquy rspos aalysis of digital filtrs LTI Digital Filtrs Digital filtr rprstatios ad struturs Idal filtrs
More informationSolution to 1223 The Evil Warden.
Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud
More informationChapter (8) Estimation and Confedence Intervals Examples
Chaptr (8) Estimatio ad Cofdc Itrvals Exampls Typs of stimatio: i. Poit stimatio: Exampl (1): Cosidr th sampl obsrvatios, 17,3,5,1,18,6,16,10 8 X i i1 17 3 5 118 6 16 10 116 X 14.5 8 8 8 14.5 is a poit
More informationChapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering
haptr. Physical Problm for Fast Fourir Trasform ivil Egirig Itroductio I this chaptr, applicatios of FFT algorithms [-5] for solvig ral-lif problms such as computig th dyamical (displacmt rspos [6-7] of
More informationINTRODUCTION TO SAMPLING DISTRIBUTIONS
http://wiki.stat.ucla.du/socr/id.php/socr_courss_2008_thomso_econ261 INTRODUCTION TO SAMPLING DISTRIBUTIONS By Grac Thomso INTRODUCTION TO SAMPLING DISTRIBUTIONS Itro to Samplig 2 I this chaptr w will
More information2617 Mark Scheme June 2005 Mark Scheme 2617 June 2005
Mark Schm 67 Ju 5 GENERAL INSTRUCTIONS Marks i th mark schm ar plicitly dsigatd as M, A, B, E or G. M marks ("mthod" ar for a attmpt to us a corrct mthod (ot mrly for statig th mthod. A marks ("accuracy"
More informationECE594I Notes set 6: Thermal Noise
C594I ots, M. odwll, copyrightd C594I Nots st 6: Thrmal Nois Mark odwll Uivrsity of Califoria, ata Barbara rodwll@c.ucsb.du 805-893-344, 805-893-36 fax frcs ad Citatios: C594I ots, M. odwll, copyrightd
More informationNarayana IIT Academy
INDIA Sc: LT-IIT-SPARK Dat: 9--8 6_P Max.Mars: 86 KEY SHEET PHYSIS A 5 D 6 7 A,B 8 B,D 9 A,B A,,D A,B, A,B B, A,B 5 A 6 D 7 8 A HEMISTRY 9 A B D B B 5 A,B,,D 6 A,,D 7 B,,D 8 A,B,,D 9 A,B, A,B, A,B,,D A,B,
More informationExtraction of Doping Density Distributions from C-V Curves
Extraction of Doping Dnsity Distributions from C-V Curvs Hartmut F.-W. Sadrozinski SCIPP, Univ. California Santa Cruz, Santa Cruz, CA 9564 USA 1. Connction btwn C, N, V Start with Poisson quation d V =
More information8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions
Solutios for HW 8 Captr 5 Cocptual Qustios 5.. θ dcrass. As t crystal is coprssd, t spacig d btw t plas of atos dcrass. For t first ordr diffractio =. T Bragg coditio is = d so as d dcrass, ust icras for
More informationCDS 101: Lecture 5.1 Reachability and State Space Feedback
CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls
More informationCDS 101: Lecture 5.1 Reachability and State Space Feedback
CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o
More informationProblem Value Score Earned No/Wrong Rec -3 Total
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING ECE6 Fall Quiz # Writt Eam Novmr, NAME: Solutio Kys GT Usram: LAST FIRST.g., gtiit Rcitatio Sctio: Circl t dat & tim w your Rcitatio
More informationDiscrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform
Discrt Fourir Trasform Dfiitio - T simplst rlatio btw a lt- squc x dfid for ω ad its DTFT X ( ) is ω obtaid by uiformly sampli X ( ) o t ω-axis btw ω < at ω From t dfiitio of t DTFT w tus av X X( ω ) ω
More informationln x = n e = 20 (nearest integer)
H JC Prlim Solutios 6 a + b y a + b / / dy a b 3/ d dy a b at, d Giv quatio of ormal at is y dy ad y wh. d a b () (,) is o th curv a+ b () y.9958 Qustio Solvig () ad (), w hav a, b. Qustio d.77 d d d.77
More informationSystems in Transform Domain Frequency Response Transfer Function Introduction to Filters
LTI Discrt-Tim Systms i Trasform Domai Frqucy Rspos Trasfr Fuctio Itroductio to Filtrs Taia Stathai 811b t.stathai@imprial.ac.u Frqucy Rspos of a LTI Discrt-Tim Systm Th wll ow covolutio sum dscriptio
More informationWashington State University
he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us
More informationRecursive Implementation of Anisotropic Filters
Rcursiv Implmtatio of Aisotropic Filtrs Zu Yu Dpartmt of Computr Scic, Uivrsit of Tas at Austi Abstract Gaussia filtr is widl usd for imag smoothig but it is wll kow that this tp of filtrs blur th imag
More informationThe pn junction: 2 Current vs Voltage (IV) characteristics
Th pn junction: Currnt vs Voltag (V) charactristics Considr a pn junction in quilibrium with no applid xtrnal voltag: o th V E F E F V p-typ Dpltion rgion n-typ Elctron movmnt across th junction: 1. n
More informationNET/JRF, GATE, IIT JAM, JEST, TIFR
Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ
More informationELEC9721: Digital Signal Processing Theory and Applications
ELEC97: Digital Sigal Pocssig Thoy ad Applicatios Tutoial ad solutios Not: som of th solutios may hav som typos. Q a Show that oth digital filts giv low hav th sam magitud spos: i [] [ ] m m i i i x c
More informationEmpirical Study in Finite Correlation Coefficient in Two Phase Estimation
M. Khoshvisa Griffith Uivrsity Griffith Busiss School Australia F. Kaymarm Massachustts Istitut of Tchology Dpartmt of Mchaical girig USA H. P. Sigh R. Sigh Vikram Uivrsity Dpartmt of Mathmatics ad Statistics
More informationDETECTION OF RELIABLE SOFTWARE USING SPRT ON TIME DOMAIN DATA
Itratioal Joural of Computr Scic, Egirig ad Applicatios (IJCSEA Vol., No.4, August DETECTION OF RELIABLE SOFTWARE USING SRT ON TIME DOMAIN DATA G.Krisha Moha ad Dr. Satya rasad Ravi Radr, Dpt. of Computr
More informationOn the approximation of the constant of Napier
Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of
More informationDigital Signal Processing, Fall 2006
Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti
More informationNovel range-doppler processing and waveform design method for extending unambiguous Doppler
Novl rag-dopplr procssig ad wavform dsig mthod for xtdig uambiguous Dopplr Yishg Wi,Zhig Mao Dpartmt of Elctroic Egirig Harbi Istitut of chology Harbi, Chia E-mail: hitwiysgroup@163.com Abstract Cohrt
More informationElectronic Supplementary Information
Elctroic Supplmtary Matrial (ESI) for Joural of Matrials Chmistry A. This joural is Th Royal Socity of Chmistry 2016 Elctroic Supplmtary Iformatio Photolctrochmical Watr Oxidatio usig a Bi 2 MoO 6 / MoO
More informationDerivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error.
Drivatio of a Prdictor of Cobiatio # ad th SE for a Prdictor of a Positio i Two Stag Saplig with Rspos Error troductio Ed Stak W driv th prdictor ad its SE of a prdictor for a rado fuctio corrspodig to
More information5.1 The Nuclear Atom
Sav My Exams! Th Hom of Rvisio For mor awsom GSE ad lvl rsourcs, visit us at www.savmyxams.co.uk/ 5.1 Th Nuclar tom Qustio Papr Lvl IGSE Subjct Physics (0625) Exam oard Topic Sub Topic ooklt ambridg Itratioal
More informationCircular Array of Tapered Nylon Rod Antennas: A Computational Study
tratioal Joural of Elctroics ad Commuicatio Egirig. SSN 974-266 Volum 4, Numbr (2), pp.3-38 tratioal Rsarch Publicatio Hous http://www.irphous.com Circular Array of Taprd Nylo Rod Atas: A Computatioal
More informationSOLUTIONS TO CHAPTER 2 PROBLEMS
SOLUTIONS TO CHAPTER PROBLEMS Problm.1 Th pully of Fig..33 is composd of fiv portios: thr cylidrs (of which two ar idtical) ad two idtical co frustum sgmts. Th mass momt of irtia of a cylidr dfid by a
More informationBlackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted?
All bodis at a tmpratur T mit ad absorb thrmal lctromagtic radiatio Blackbody radiatio I thrmal quilibrium, th powr mittd quals th powr absorbd How is blackbody radiatio absorbd ad mittd? 1 2 A blackbody
More informationSolution of Assignment #2
olution of Assignmnt #2 Instructor: Alirza imchi Qustion #: For simplicity, assum that th distribution function of T is continuous. Th distribution function of R is: F R ( r = P( R r = P( log ( T r = P(log
More informationTriple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling
Tripl Play: From D Morga to Stirlig To Eulr to Maclauri to Stirlig Augustus D Morga (186-1871) was a sigificat Victoria Mathmaticia who mad cotributios to Mathmatics History, Mathmatical Rcratios, Mathmatical
More informationNEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES
Digst Joural of Naomatrials ad Biostructurs Vol 4, No, March 009, p 67-76 NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES A IRANMANESH a*, O KHORMALI b, I NAJAFI KHALILSARAEE c, B SOLEIMANI
More information2.29 Numerical Fluid Mechanics Spring 2015 Lecture 12
REVIEW Lctur 11: Numrical Fluid Mchaics Sprig 2015 Lctur 12 Fiit Diffrcs basd Polyomial approximatios Obtai polyomial (i gral u-qually spacd), th diffrtiat as dd Nwto s itrpolatig polyomial formulas Triagular
More informationChapter 2 Quality-Yield Measure for Very Low Fraction Defective
haptr Quality-Yild Masur for Vry ow Fractio Dfctiv I this chaptr, w first rwrit th quality yild as rprstatio of procss yild ad xpctd rlativ loss, focusig o productio procsss with vry low fractio of dfctivs.
More informationAvailable online at Energy Procedia 4 (2011) Energy Procedia 00 (2010) GHGT-10
Availabl oli at www.scicdirct.com Ergy Procdia 4 (01 170 177 Ergy Procdia 00 (010) 000 000 Ergy Procdia www.lsvir.com/locat/procdia www.lsvir.com/locat/xxx GHGT-10 Exprimtal Studis of CO ad CH 4 Diffusio
More informationChapter 3 Fourier Series Representation of Periodic Signals
Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:
More informationNew Sixteenth-Order Derivative-Free Methods for Solving Nonlinear Equations
Amrica Joural o Computatioal ad Applid Mathmatics 0 (: -8 DOI: 0.59/j.ajcam.000.08 Nw Sixtth-Ordr Drivativ-Fr Mthods or Solvig Noliar Equatios R. Thukral Padé Rsarch Ctr 9 Daswood Hill Lds Wst Yorkshir
More informationcoulombs or esu charge. It s mass is about 1/1837 times the mass of hydrogen atom. Thus mass of electron is
1 ATOMIC STRUCTURE Fudamtal Particls: Mai Fudamtal Particl : (a) Elctro: It is a fudamtal particl of a atom which carris a uit gativ charg. It was discovrd by J.J. Thomso (1897) from th studis carrid out
More informationIntroduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10.
Itroductio to Quatum Iformatio Procssig Lctur Michl Mosca Ovrviw! Classical Radomizd vs. Quatum Computig! Dutsch-Jozsa ad Brsti- Vazirai algorithms! Th quatum Fourir trasform ad phas stimatio A classical
More informationReliability of time dependent stress-strength system for various distributions
IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,
More informationAn Introduction to Asymptotic Expansions
A Itroductio to Asmptotic Expasios R. Shaar Subramaia Dpartmt o Chmical ad Biomolcular Egirig Clarso Uivrsit Asmptotic xpasios ar usd i aalsis to dscrib th bhavior o a uctio i a limitig situatio. Wh a
More informationω (argument or phase)
Imagiary uit: i ( i Complx umbr: z x+ i y Cartsia coordiats: x (ral part y (imagiary part Complx cougat: z x i y Absolut valu: r z x + y Polar coordiats: r (absolut valu or modulus ω (argumt or phas x
More informationSIGNALS AND LINEAR SYSTEMS UNIT-1 SIGNALS
SIGNALS AND LINEAR SYSTEMS UNIT- SIGNALS. Dfi a sigal. A sigal is a fuctio of o or mor idpdt variabls which cotais som iformatio. Eg: Radio sigal, TV sigal, Tlpho sigal, tc.. Dfi systm. A systm is a st
More informationModule 5: IIR and FIR Filter Design Prof. Eliathamby Ambikairajah Dr. Tharmarajah Thiruvaran School of Electrical Engineering & Telecommunications
Modul 5: IIR ad FIR Filtr Dsig Prof. Eliathamby Ambiairaah Dr. Tharmaraah Thiruvara School of Elctrical Egirig & Tlcommuicatios Th Uivrsity of w South Wals Australia IIR filtrs Evry rcursiv digital filtr
More informationMILLIKAN OIL DROP EXPERIMENT
11 Oct 18 Millika.1 MILLIKAN OIL DROP EXPERIMENT This xprimt is dsigd to show th quatizatio of lctric charg ad allow dtrmiatio of th lmtary charg,. As i Millika s origial xprimt, oil drops ar sprayd ito
More informationA Review of Complex Arithmetic
/0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd
More informationIterative Methods of Order Four for Solving Nonlinear Equations
Itrativ Mods of Ordr Four for Solvig Noliar Equatios V.B. Kumar,Vatti, Shouri Domii ad Mouia,V Dpartmt of Egirig Mamatis, Formr Studt of Chmial Egirig Adhra Uivrsity Collg of Egirig A, Adhra Uivrsity Visakhapatam
More informationA SINGLE-INVERTER MULTI-MOTOR SYSTEM BASED ON DIRECT TORQUE CONTROL
U.P.B. Sci. Bull., Sris C, Vol. 76, Iss., 014 ISSN 86 3540 A SINGLE-INVERTER MULTI-MOTOR SYSTEM BASED ON DIRECT TORQUE CONTROL Hg WAN 1, Yuwi PAN This papr prsts a mthod of cotrollig multi motors ad dducs
More informationBayesian Test for Lifetime Performance Index of Exponential Distribution under Symmetric Entropy Loss Function
Mathmatics ttrs 08; 4(): 0-4 http://www.scicpublishiggroup.com/j/ml doi: 0.648/j.ml.08040.5 ISSN: 575-503X (Prit); ISSN: 575-5056 (Oli) aysia Tst for iftim Prformac Idx of Expotial Distributio udr Symmtric
More information2008 AP Calculus BC Multiple Choice Exam
008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl
More informationJournal of Modern Applied Statistical Methods
Joural of Modr Applid Statistical Mthods Volum Issu Articl 6 --03 O Som Proprtis of a Htrogous Trasfr Fuctio Ivolvig Symmtric Saturatd Liar (SATLINS) with Hyprbolic Tagt (TANH) Trasfr Fuctios Christophr
More information3 Error Equations for Blind Equalization Schemes
3 Error Equatios or Blid Equalizatio Schms I this sctio dirt rror quatios or blid qualizatio will b aalzd. Basd o this aalsis a suitabl rror quatio will b suggstd aimd at providig bttr prormac. Th modl
More informationANALYSIS OF UNSTEADY HEAT CONDUCTION THROUGH SHORT FIN WITH APPLICABILITY OF QUASI THEORY
It. J. Mch. Eg. & Rob. Rs. 013 Tjpratap Sigh t al., 013 Rsarch Papr ISSN 78 0149 www.ijmrr.com Vol., No. 1, Jauary 013 013 IJMERR. All Rights Rsrvd ANALYSIS OF UNSTEADY HEAT CONDUCTION THROUGH SHORT FIN
More informationA Propagating Wave Packet Group Velocity Dispersion
Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to
More informationPage 1. Before-After Control-Impact (BACI) Power Analysis For Several Related Populations (Variance Known) Richard A. Hinrichsen. September 24, 2010
Pag for-aftr Cotrol-Impact (ACI) Powr Aalysis For Svral Rlatd Populatios (Variac Kow) Richard A. Hirichs Sptmbr 4, Cavat: This primtal dsig tool is a idalizd powr aalysis built upo svral simplifyig assumptios
More informationOutline. Ionizing Radiation. Introduction. Ionizing radiation
Outli Ioizig Radiatio Chaptr F.A. Attix, Itroductio to Radiological Physics ad Radiatio Dosimtry Radiological physics ad radiatio dosimtry Typs ad sourcs of ioizig radiatio Dscriptio of ioizig radiatio
More information07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n
07 - SEQUENCES AND SERIES Pag ( Aswrs at h d of all qustios ) ( ) If = a, y = b, z = c, whr a, b, c ar i A.P. ad = 0 = 0 = 0 l a l
More informationFull Waveform Inversion Using an Energy-Based Objective Function with Efficient Calculation of the Gradient
Full Wavform Invrsion Using an Enrgy-Basd Objctiv Function with Efficint Calculation of th Gradint Itm yp Confrnc Papr Authors Choi, Yun Sok; Alkhalifah, ariq Ali Citation Choi Y, Alkhalifah (217) Full
More informationEinstein Equations for Tetrad Fields
Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for
More informationUNIT 2: MATHEMATICAL ENVIRONMENT
UNIT : MATHEMATICAL ENVIRONMENT. Itroductio This uit itroducs som basic mathmatical cocpts ad rlats thm to th otatio usd i th cours. Wh ou hav workd through this uit ou should: apprciat that a mathmatical
More informationChapter 6: DFT/FFT Transforms and Applications 6.1 DFT and its Inverse
6. Chaptr 6: DFT/FFT Trasforms ad Applicatios 6. DFT ad its Ivrs DFT: It is a trasformatio that maps a -poit Discrt-tim DT) sigal ] ito a fuctio of th compl discrt harmoics. That is, giv,,,, ]; L, a -poit
More informationPartition Functions and Ideal Gases
Partitio Fuctios ad Idal Gass PFIG- You v lard about partitio fuctios ad som uss ow w ll xplor tm i mor dpt usig idal moatomic diatomic ad polyatomic gass! for w start rmmbr: Q( N ( N! N Wat ar N ad? W
More informationA Novel Approach to Recovering Depth from Defocus
Ssors & Trasducrs 03 by IFSA http://www.ssorsportal.com A Novl Approach to Rcovrig Dpth from Dfocus H Zhipa Liu Zhzhog Wu Qiufg ad Fu Lifag Collg of Egirig Northast Agricultural Uivrsity 50030 Harbi Chia
More information10. Joint Moments and Joint Characteristic Functions
0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi
More information