Research Scholar, Department of Statistics, Shri Jagdish Prasad Jhabarmal Tibrewala University Dist Jhunjhunu, Rajasthan , INDIA **

Size: px
Start display at page:

Download "Research Scholar, Department of Statistics, Shri Jagdish Prasad Jhabarmal Tibrewala University Dist Jhunjhunu, Rajasthan , INDIA **"

Transcription

1 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor:.4 IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY AVAILABILITY ANALYSIS OF A TWO-UNIT CENTRIFUGE SYSTEM CONSIDERING THE HALT STATE ON OCCURRENCE OF MINOR/MAJOR FAULT Shakeel Ahmad and Vinod Kumar Research Scholar, Dearmen of Saisics, Shri Jagdish Prasad Jhabarmal Tibrewala Universiy Dis Jhunjhunu, Rajashan-33300, INDIA Dearmen of Mahemaics, S.B.M.N. Engg. College, Ashal Bohar, Rohak-400(Haryana) INDIA ABSTRACT This aer deals wih a cenrifuge sysem consising wo idenical uni cold sandby considering major/minor faul. I is assumed ha sysem leads o arial failed sae on occurrence of a minor faul whereas on occurrence of a major faul i leads o comlee failure. Some ime he sysem is need o be brough a hal sae for reair/ relacemen (off-line) and reairs/ relacemens of he sysem/ comonens is done. In general on comlee failure of he sysem, he reairman firs insec wheher he faul is reairable or non reairable and accordingly carry ou he reair or relacemen of he comonens involved. Various measures of sysem effeciveness are obained by using Markov rocesses and regeneraive oin echnique. The analysis of he sysem is carried ou on he basis of he grahical sudies and conclusions are drawn regarding he availabiliy of he sysem. KEYWORDS: Cenrifuge Sysem, MTSF, Execed Uime, Markov Process, Regeneraive Poin Technique INTRODUCTION In he resen scenario filraion and urificaion lays a very imoran role in he modern sociey eraining o he healh of he human being and he qualiies of he roducs used by hem. A large number of equimens or sysems of equimens are involved in he indusries o mee ou he requiremens of such roducs. One such sysem is a cenrifuge sysem used for searaion of wo objecs having differen ye of densiy. Cenrifuge sysem is being used in Refineries for oil urificaion, in milk lans o exrac he fas, in laboraories for blood fracionaion and wine clarificaion ec. Thus he reliabiliy and cos of he cenrifuge sysem lays a very significan role in such ye of indusries and hence need o be analyzed. In fac a large number of researchers in he field of reliabiliy modeling including Gua and Kumar (983), Goalan and Murlidhar (99), Tueja e al (00), Taneja e al (004), Taneja and Parashar (007), Gua e al (008), Kumar e al (00), ec. analyzed various one-uni/ wo-uni sysems. Kumar e al. (00) invesigaed a wo-uni redundan sysem wih he degradaion afer firs failure and relacemen afer second failure. Tueja e.al (00) sudied reliabiliy and rofi analysis of wo-uni cold sandby sysem wih arial failure and wo yes of reairman. Taneja and Nanda (003) sudied robabilisic analysis of a wo-uni cold sandby sysem wih resume and reea reair olicies. Singh and Chander (005) analyzed reliabiliy of wo sysems each of which conains non-idenical unis-an elecric ransformer and a generaor. Kumar and Bhaia (0, 0, 03) discussed he behaviour of he single uni cenrifuge sysem considering he conces of insecions, hal of sysem, degradaion, minor/major fauls, negleced fauls, online/offline mainenances, reairs of he fauls ec. Recenly, Kumar V. e al. (04) discussed he reliabiliy and rofi analysis of a wo-uni cold sandby cenrifuge sysem considering reair and relacemen wih insecion. As far as we concern wih he research work on reliabiliy modeling, none of he researchers have analyzed such a wo-uni cold sandby cenrifuge sysem considering such a siuaion wih occurrence of various fauls. To fill u his ga, he resen aer discussed an analysis of a sochasic model for wo-uni cenrifuge sysem considering hal of he sysem on occurrence of minor/major faul. On comlee failure of he sysem, he reairman firs insec h: // Inernaional Journal of Engineering Sciences & Research Technology [00]

2 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor:.4 wheher he faul is reairable or non reairable and accordingly carry ou he reair or relacemen of he comonens involved. In general all he insecions, reairs and relacemens have done on-line as well as off-line during he uni oeraive/ inoeraive, bu someimes in emergency he oeraive uni of he sysem may be brough o hal for he reair or relacemen. Various measures of sysem effeciveness such as mean sojourn ime, MTSF, execed u ime and execed down ime of he sysem are obained using Markov rocesses and regeneraive oin echnique. The conclusions regarding reliabiliy and availabiliy of he sysem are given on he basis of grahical sudies. SYSTEM DESCRIPTION AND OTHER ASSUMPTIONS AND METHODS a. Fauls are self- announcing on occurring in he sysem. b. There is a single reairman faciliy wih he sysem o reair he faul. c. Afer each reair he sysem is as good as new. d. Insecion is carried ou only on he occurrence of major fauls. e. During online reair/waiing for reair here may be occurrence of major faul. f. On occurrence of minor/major faul wheher i is reairable or irrearable on-line, he sysem is need o be brough a hal sae for reair/ relacemen (off-line). g. The failure ime disribuions are exonenial while oher ime disribuions are general. h. Swiching is erfecly done on occurrence of major faul. i. All he random variables are muually indeenden. Noaions λ / λ λ 3 a / b η / η :Rae of occurrence of major/ minor failure :Rae of occurrence of failure due o delay in reair :Probabiliy ha a faul is reairable/ non-reairable :Rae a which he sysem brough o be a hal sae i ()/I ():.d.f./ c.d.f. of ime o insecion of he uni a failed sae i ()/ I ():.d.f./ c.d.f. of ime o insecion of he uni a haled sae g ()/G ():.d.f./ c.d.f. of imes o reair of minor faul a down sae g ()/G ():.d.f./ c.d.f. of imes o reair he uni a failed sae h ()/H ():.d.f./ c.d.f. of imes o relacemen of he uni a failed sae O r /O w /O cs :Oeraive uni under reair/ waiing/ cold sandby F i /F r /F r /F w :Failed uni under insecion/ reair/ relacemen/ waiing F R /F RP :Failed uni under reair/ relacemen coninue from he revious sae TRANSITION PROBABILITIES AND MEAN SOJOURN TIMES A sae-ransiion diagram in fig. shows various saes of ransiion of he sysem. The eochs of enry ino saes 0,,, 3, 4, 5 and 7 are regeneraion oins and hus hese are regeneraive saes. The sae s 6 and 8 are failed sae and 9 and 0 are hal sae. h: // Inernaional Journal of Engineering Sciences & Research Technology [0]

3 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor:.4 Figure: The ransiion robabiliies are given by dq e d 0 0 dq g d dq ai d 3 dq e d 0 dq bi d dq e g d dq e g d Sae Transiion Diagram dq e G d dq e G d 3 dq e h d dq e h d dq 59 e G d 3 dq 7 e h d dq e h d dq e H d dq e H d dq e g d dq e g d dq e g d dq e G d dq g d dq e h d dq e H d 0 7 dq e h d dq h d 8 dq g d 9 dq e g d h: // Inernaional Journal of Engineering Sciences & Research Technology [0] 3 7,0 dq e H d

4 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor:.4 0, dq h d Taking L.S.T Q ij s and ij s0 ij limq s ai 0 g 0 30 g g bi h 40, he non-zero elemens ij, are obained as under: g h 5 g 3 g h g 3 3 g 6 3 g 0 h h 3 3 h h 0 0, h g 0 7,0 By hese ransiion robabiliies, i can be verified ha = = = = = + = = , = = = = = = , = = h: // Inernaional Journal of Engineering Sciences & Research Technology [03] h 3 3 The uncondiional mean ime aken by he sysem o ransi for any regeneraive sae j, when i is couned from eoch of enrance ino ha sae i, is mahemaically saed as-

5 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor:.4 Thusm m ij ij ij 0 m = dq q m0 m3 m4 m30 m35 m36 3 m40 m47 m48 4 m5 m56 m59 5 m7 m78 m7,0 7 m 6 6 m8 8 m9 9 m 0, 0 m m m k m m m k where m m m k m m m k k g 0 k 3 k h 0 k 4 The mean sojourn ime in he regeneraive sae i (µ i ) is defined as he ime of say in ha sae before ransiion o any oher sae hen we have 0 g 0 i 0 h 4 6 g 0 h 0 8 h 0 0 g 3 g 5 h g 0 MEASURES OF THE SYSTEM EFFECTIVENESS Various measures of he sysem effeciveness obained in seady sae using he argumens of he heory of regeneraive rocess are as under: The Mean Time o Sysem Failure (MTSF) = N/D Execed U-Time of he Sysem wih Full Caaciy (AF 0 ) = N /D Execed U-Time of he Sysem wih Reduced Caaciy (AR 0 ) = N /D where h: // Inernaional Journal of Engineering Sciences & Research Technology [04]

6 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor: N N = µ µ + µ + µ µ µ k k 4 k 47k µ + µ D D = µ 0+ 0µ N = µ µ GRAPHICAL INTERPRETATION AND CONCLUSION For grahical analysis following aricular cases are considered- g e g e i e h e Therefore, we have a b , h: // Inernaional Journal of Engineering Sciences & Research Technology [05]

7 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor: Various grahs are loed for MTSF, Execed u ime and Execed down ime and Profi of he sysem by aking differen values of failure raes (λ, λ & λ 3 ), insecion rae ( ), reair raes (β & β ), relacemen rae ( ), hal rae (η & η ) and robabiliies of reairable & non-reairable (a & b). Fig. Fig. gives he grah beween MTSF (T 0 ) and he rae of failure (λ ) due o minor fauls for differen values of he rae of failure (λ ) due o major fauls. The grah reveals ha he MTSF decreases wih increase in he values of he failure raes. Fig. 3 The curves in Fig. 3 give he grah beween MTSF (T 0 ) and rae of failure due o delay in reair (λ 3 ) for differen values of rae of major failure (λ ) of he sysem. The grah reveals ha he MTSF decreases wih increase in he values of he failure raes. h: // Inernaional Journal of Engineering Sciences & Research Technology [06]

8 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor:.4 Fig. 4 The curves in Fig. 4 give he grah beween MTSF (T 0 ) and rae a which sysem haled (η ) for differen values of rae of major failure (λ ) of he sysem. The grah reveals ha he MTSF decreases wih increase in he values of he rae a which sysem haled as well as he failure rae. Fig. 5 Fig. 5 gives he grah beween Execed uime wih full caaciy (AF 0 ) and he rae of occurrence of minor fauls (λ ) for differen values of rae of occurrence of major fauls (λ ). The grah reveals ha he Execed uime wih full caaciy decreases wih increase in he values of he failure raes. REFERENCES [] R.C. Garg and A. Kumar (977) A comlex sysem wih wo yes of failure and reair, IEEE Trans. Reliabiliy, 6, [] L.R. Goel, G.C. Sharma and R. Gua (986) Reliabiliy analysis of a sysem wih revenion mainenance and wo yes of reairing, Micro elecron Reliabiliy, 6, [3] M.N. Goalan and N.N. Murlidhar (99) Cos analysis of a one uni reairable sysem subjec o on-line revenion mainenance and/or reair, Micro elecron Reliabiliy, 3(/3), [4] A. Goyel, G. Taneja and D.V. Singh (009) Analysis of a -uni cold sandby sysem working in a sugar mill wih oeraing and res eriods, Caledon. J. Eng., 5: -5. [5] A. Goyel, G. Taneja and D.V. Singh (00) Reliabiliy modeling and analysis of a sulhaed juice um sysem comrising hree idenical unis wih wo yes of working caaciy and res eriod, Pure and Alied Mahemaical Sciences,7,(-), [6] M. L. Gua and A. Kumar (983) On rofi consideraion of a mainenance sysem wih minor reair, Microelecron Reliabiliy, 3, [7] K. Murari and V. Goyal (983) Reliabiliy sysem wih wo yes of reair faciliies, Microelecron Reliabiliy, 3(6), [8] G. Taneja, V.K Tayagi and P. Bhardwaj (004) Programmable logic conroller, Pure and Alied Mahemaical Sciences, LX (-), [9] R. Kumar and P. Bhaia (0) Imac of Ignored fauls on reliabiliy and availabiliy of cenrifuge sysem ha undergoes eriodic res, Journal of Inernaional Academy of Physical Sciences, Vol.5, [0] R. Kumar and P. Bhaia (0) Reliabiliy and cos analysis of one uni cenrifuge sysem wih single reairman and insecion, Pure and Alied Mahemaika Sciences, 74 (-), 3-. h: // Inernaional Journal of Engineering Sciences & Research Technology [07]

9 [Ahmad, 4 (5): May, 05] ISSN: (IOR), Publicaion Imac Facor: (ISRA), Imac Facor:.4 [] Kumar, R. and Rani, S. (03) Cos-benefi analysis of a reliabiliy model on waer rocess sysem having wo yes of redundan subsysems, Inernaional Journal of Alied Mahemaical Research,, No., [] U.Sharma,Rekha, G Taneja.( 0) Analysis of a wo uni sandby oil delivering sysem wih a rovision of swiching over o anoher sysem a need o increase he availabiliy, Journal of Mahemaics and Saisics Vol 7 no [3] V. Kumar, P. Bhaia and S. Ahamd (04) Profi Analysis of a Two-Uni Cold Sandby Cenrifuge Sysem wih Single Reairman, Inernaional Journal of Scienific & Engineering Research, Volume 5, Issue 6, June-04, AUTHOR BIBLOGRAPHY Mr. Shakeel Ahmad Research Scholar, Dearmen of Saisics, Shri Jagdish Prasad Jhabarmal Tibrewala Universiy Dis Jhunjhunu, Rajashan-33300, INDIA affuzaa64@gmail.com Dr. Vinod Kumar Professor and Head De. of Mahemaics, S.B.M.N. Engg. College, Rohak, HARYANA, (INDIA) Associaed as Aroved Suervisor wih Dearmen of Saisics, Shri Jagdish Prasad Jhabarmal Tibrewala Universiy Dis Jhunjhunu, Rajashan-33300, INDIA kakoriavinod@gmail.com h: // Inernaional Journal of Engineering Sciences & Research Technology [08]

Stochastic Reliability Analysis of Two Identical Cold Standby Units with Geometric Failure & Repair Rates

Stochastic Reliability Analysis of Two Identical Cold Standby Units with Geometric Failure & Repair Rates DOI: 0.545/mjis.07.500 Socasic Reliabiliy Analysis of Two Idenical Cold Sandby Unis wi Geomeric Failure & Repair Raes NITIN BHARDWAJ AND BHUPENDER PARASHAR Email: niinbardwaj@jssaen.ac.in; parasar_b@jssaen.ac.in

More information

PROFIT EVALUATION OF A STOCHASTIC MODEL ON BASE TRANSCEIVER SYSTEM CONSIDERING SOFTWARE BASED HARDWARE FAILURES AND CONGESTION OF CALLS

PROFIT EVALUATION OF A STOCHASTIC MODEL ON BASE TRANSCEIVER SYSTEM CONSIDERING SOFTWARE BASED HARDWARE FAILURES AND CONGESTION OF CALLS PROFIT EVALUATION OF A STOCHASTIC MODEL ON BASE TRANSCEIVER SYSTEM CONSIDERING SOFTWARE BASED HARDWARE FAILURES AND CONGESTION OF CALLS Rajeev Kumar and Sunny Kaoor Profeor, De of Maemaic, MD Univeriy

More information

Evaluation of Mean Time to System Failure of a Repairable 3-out-of-4 System with Online Preventive Maintenance

Evaluation of Mean Time to System Failure of a Repairable 3-out-of-4 System with Online Preventive Maintenance American Journal of Applied Mahemaics and Saisics, 0, Vol., No., 9- Available online a hp://pubs.sciepub.com/ajams/// Science and Educaion Publishing DOI:0.69/ajams--- Evaluaion of Mean Time o Sysem Failure

More information

ON DETERMINATION OF SOME CHARACTERISTICS OF SEMI-MARKOV PROCESS FOR DIFFERENT DISTRIBUTIONS OF TRANSIENT PROBABILITIES ABSTRACT

ON DETERMINATION OF SOME CHARACTERISTICS OF SEMI-MARKOV PROCESS FOR DIFFERENT DISTRIBUTIONS OF TRANSIENT PROBABILITIES ABSTRACT Zajac, Budny ON DETERMINATION O SOME CHARACTERISTICS O SEMI MARKOV PROCESS OR DIERENT DISTRIBUTIONS O R&RATA # 2(3 ar 2 (Vol. 2 29, June ON DETERMINATION O SOME CHARACTERISTICS O SEMI-MARKOV PROCESS OR

More information

3-Unit System Comprising Two Types of Units with First Come First Served Repair Pattern Except When Both Types of Units are Waiting for Repair

3-Unit System Comprising Two Types of Units with First Come First Served Repair Pattern Except When Both Types of Units are Waiting for Repair Journal of Mathematics and Statistics 6 (3): 36-30, 00 ISSN 49-3644 00 Science Publications 3-Unit System Comrising Two Tyes of Units with First Come First Served Reair Pattern Excet When Both Tyes of

More information

Probabilistic Models for Reliability Analysis of a System with Three Consecutive Stages of Deterioration

Probabilistic Models for Reliability Analysis of a System with Three Consecutive Stages of Deterioration Yusuf I., Gaawa R.I. Volume, December 206 Probabilisic Models for Reliabiliy Analysis of a Sysem wih Three Consecuive Sages of Deerioraion Ibrahim Yusuf Deparmen of Mahemaical Sciences, Bayero Universiy,

More information

Chapter 3 Common Families of Distributions

Chapter 3 Common Families of Distributions Chaer 3 Common Families of Disribuions Secion 31 - Inroducion Purose of his Chaer: Caalog many of common saisical disribuions (families of disribuions ha are indeed by one or more arameers) Wha we should

More information

Fault Tolerant Computing CS 530 Reliability Analysis. Yashwant K. Malaiya Colorado State University

Fault Tolerant Computing CS 530 Reliability Analysis. Yashwant K. Malaiya Colorado State University CS 53 eliabiliy Analysis Yashwan K. Malaiya Colorado Sae Universiy February 6, 27 eliabiliy Analysis: Ouline eliabiliy measures: eliabiliy, availabiliy, Transacion eliabiliy, MTTF and (, MTBF Basic Cases

More information

Reliability of Technical Systems

Reliability of Technical Systems eliabiliy of Technical Sysems Main Topics Inroducion, Key erms, framing he problem eliabiliy parameers: Failure ae, Failure Probabiliy, Availabiliy, ec. Some imporan reliabiliy disribuions Componen reliabiliy

More information

International Journal of Mathematical Archive-5(11), 2014, Available online through ISSN

International Journal of Mathematical Archive-5(11), 2014, Available online through   ISSN Inernaional Journal of Mahemaical Archive-5(), 4, 64-7 Available online hrough www.ijma.info IN 9 546 TATITICAL MODELING OF A COMPUTER YTEM UNDER PRIORITY IN REPAIR DICIPLINE OF COMPONENT Jyoi Anand *,

More information

Continuous Time Markov Chain (Markov Process)

Continuous Time Markov Chain (Markov Process) Coninuous Time Markov Chain (Markov Process) The sae sace is a se of all non-negaive inegers The sysem can change is sae a any ime ( ) denoes he sae of he sysem a ime The random rocess ( ) forms a coninuous-ime

More information

Description of the MS-Regress R package (Rmetrics)

Description of the MS-Regress R package (Rmetrics) Descriion of he MS-Regress R ackage (Rmerics) Auhor: Marcelo Perlin PhD Suden / ICMA Reading Universiy Email: marceloerlin@gmail.com / m.erlin@icmacenre.ac.uk The urose of his documen is o show he general

More information

Stochastic Model for Cancer Cell Growth through Single Forward Mutation

Stochastic Model for Cancer Cell Growth through Single Forward Mutation Journal of Modern Applied Saisical Mehods Volume 16 Issue 1 Aricle 31 5-1-2017 Sochasic Model for Cancer Cell Growh hrough Single Forward Muaion Jayabharahiraj Jayabalan Pondicherry Universiy, jayabharahi8@gmail.com

More information

A Comparative Study of Profit Analysis of Two Reliability Models on a 2-unit PLC System

A Comparative Study of Profit Analysis of Two Reliability Models on a 2-unit PLC System International Journal of Scientific & Engineering Research, Volume 4, Issue 4, Aril-2013 400 A Comarative Study of Profit Analysis of Two Reliability Models on a 2-unit PLC System Dr. Bhuender Parashar,

More information

5. Stochastic processes (1)

5. Stochastic processes (1) Lec05.pp S-38.45 - Inroducion o Teleraffic Theory Spring 2005 Conens Basic conceps Poisson process 2 Sochasic processes () Consider some quaniy in a eleraffic (or any) sysem I ypically evolves in ime randomly

More information

On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration

On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration Journal of Agriculure and Life Sciences Vol., No. ; June 4 On a Discree-In-Time Order Level Invenory Model for Iems wih Random Deerioraion Dr Biswaranjan Mandal Associae Professor of Mahemaics Acharya

More information

2 Modern Stochastic Process Methods for Multi-state System Reliability Assessment

2 Modern Stochastic Process Methods for Multi-state System Reliability Assessment 2 Modern Sochasic Process Mehods for Muli-sae Sysem Reliabiliy Assessmen The purpose of his chaper is o describe basic conceps of applying a random process heory o MSS reliabiliy assessmen. Here, we do

More information

On Multicomponent System Reliability with Microshocks - Microdamages Type of Components Interaction

On Multicomponent System Reliability with Microshocks - Microdamages Type of Components Interaction On Mulicomponen Sysem Reliabiliy wih Microshocks - Microdamages Type of Componens Ineracion Jerzy K. Filus, and Lidia Z. Filus Absrac Consider a wo componen parallel sysem. The defined new sochasic dependences

More information

Decentralized Control of Petri Nets

Decentralized Control of Petri Nets Decenralized Conrol of Peri Nes Marian V. Iordache and Panos J. Ansaklis Dearmen of Elecrical Engineering Universiy of Nore Dame Nore Dame, IN 6556 iordache.@nd.edu June, 00 M.V. Iordache and P.J. Ansaklis,

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 6, Nov-Dec 2015

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 6, Nov-Dec 2015 Inernaional Journal of Compuer Science Trends and Technology (IJCST) Volume Issue 6, Nov-Dec 05 RESEARCH ARTICLE OPEN ACCESS An EPQ Model for Two-Parameer Weibully Deerioraed Iems wih Exponenial Demand

More information

Chapter 2. Models, Censoring, and Likelihood for Failure-Time Data

Chapter 2. Models, Censoring, and Likelihood for Failure-Time Data Chaper 2 Models, Censoring, and Likelihood for Failure-Time Daa William Q. Meeker and Luis A. Escobar Iowa Sae Universiy and Louisiana Sae Universiy Copyrigh 1998-2008 W. Q. Meeker and L. A. Escobar. Based

More information

Introduction to Probability and Statistics Slides 4 Chapter 4

Introduction to Probability and Statistics Slides 4 Chapter 4 Inroducion o Probabiliy and Saisics Slides 4 Chaper 4 Ammar M. Sarhan, asarhan@mahsa.dal.ca Deparmen of Mahemaics and Saisics, Dalhousie Universiy Fall Semeser 8 Dr. Ammar Sarhan Chaper 4 Coninuous Random

More information

Basic notions of probability theory (Part 2)

Basic notions of probability theory (Part 2) Basic noions of probabiliy heory (Par 2) Conens o Basic Definiions o Boolean Logic o Definiions of probabiliy o Probabiliy laws o Random variables o Probabiliy Disribuions Random variables Random variables

More information

Production Inventory Model with Different Deterioration Rates Under Shortages and Linear Demand

Production Inventory Model with Different Deterioration Rates Under Shortages and Linear Demand Inernaional Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 39-83X, (Prin) 39-8 Volume 5, Issue 3 (March 6), PP.-7 Producion Invenory Model wih Differen Deerioraion Raes Under Shorages

More information

Statistical Distributions

Statistical Distributions Saisical Disribuions 1 Discree Disribuions 1 The uniform disribuion A random variable (rv) X has a uniform disribuion on he n-elemen se A = {x 1,x 2,,x n } if P (X = x) =1/n whenever x is in he se A The

More information

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2

Check in: 1 If m = 2(x + 1) and n = find y when. b y = 2m n 2 7 Parameric equaions This chaer will show ou how o skech curves using heir arameric equaions conver arameric equaions o Caresian equaions find oins of inersecion of curves and lines using arameric equaions

More information

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,

More information

On asymptotic behavior of composite integers n = pq Yasufumi Hashimoto

On asymptotic behavior of composite integers n = pq Yasufumi Hashimoto Journal of Mah-for-Indusry Vol1009A-6 45 49 On asymoic behavior of comosie inegers n = q Yasufumi Hashimoo Received on March 1 009 Absrac In his aer we sudy he asymoic behavior of he number of comosie

More information

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

Deteriorating Inventory Model with Time. Dependent Demand and Partial Backlogging

Deteriorating Inventory Model with Time. Dependent Demand and Partial Backlogging Applied Mahemaical Sciences, Vol. 4, 00, no. 7, 36-369 Deerioraing Invenory Model wih Time Dependen Demand and Parial Backlogging Vinod Kumar Mishra Deparmen of Compuer Science & Engineering Kumaon Engineering

More information

Inventory Control of Perishable Items in a Two-Echelon Supply Chain

Inventory Control of Perishable Items in a Two-Echelon Supply Chain Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan

More information

Transform Techniques. Moment Generating Function

Transform Techniques. Moment Generating Function Transform Techniques A convenien way of finding he momens of a random variable is he momen generaing funcion (MGF). Oher ransform echniques are characerisic funcion, z-ransform, and Laplace ransform. Momen

More information

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging American Journal of Operaional Research 0, (): -5 OI: 0.593/j.ajor.000.0 An Invenory Model for Time ependen Weibull eerioraion wih Parial Backlogging Umakana Mishra,, Chaianya Kumar Tripahy eparmen of

More information

Study and Evaluation of Performances of the Digital Multimeter

Study and Evaluation of Performances of the Digital Multimeter Sudy and Evaluaion of Performances of he Digial Mulimeer. Inroducion Mulimeers allow measuring he mos common elecrical quaniies: volage, curren, resisance. They evolved from simle ones based on elecromechanical

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

) were both constant and we brought them from under the integral.

) were both constant and we brought them from under the integral. YIELD-PER-RECRUIT (coninued The yield-per-recrui model applies o a cohor, bu we saw in he Age Disribuions lecure ha he properies of a cohor do no apply in general o a collecion of cohors, which is wha

More information

Cash Flow Valuation Mode Lin Discrete Time

Cash Flow Valuation Mode Lin Discrete Time IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728,p-ISSN: 2319-765X, 6, Issue 6 (May. - Jun. 2013), PP 35-41 Cash Flow Valuaion Mode Lin Discree Time Olayiwola. M. A. and Oni, N. O. Deparmen of Mahemaics

More information

Physical Limitations of Logic Gates Week 10a

Physical Limitations of Logic Gates Week 10a Physical Limiaions of Logic Gaes Week 10a In a compuer we ll have circuis of logic gaes o perform specific funcions Compuer Daapah: Boolean algebraic funcions using binary variables Symbolic represenaion

More information

ANALYSIS OF THE AIRCRAFT OPERATION IN THE CONTEXT OF SAFETY AND EFFECTIVENESS

ANALYSIS OF THE AIRCRAFT OPERATION IN THE CONTEXT OF SAFETY AND EFFECTIVENESS Proceedings of he 6h Inernaional Conference on Mechanics and Maerials in Design, Ediors: J.F. Silva Gomes & S.A. Meguid, P.Delgada/Azores, 26-3 July 215 PAPER REF: 5466 ANALYSIS OF THE AIRCRAFT OPERATION

More information

Chapter 15: Phenomena. Chapter 15 Chemical Kinetics. Reaction Rates. Reaction Rates R P. Reaction Rates. Rate Laws

Chapter 15: Phenomena. Chapter 15 Chemical Kinetics. Reaction Rates. Reaction Rates R P. Reaction Rates. Rate Laws Chaper 5: Phenomena Phenomena: The reacion (aq) + B(aq) C(aq) was sudied a wo differen emperaures (98 K and 35 K). For each emperaure he reacion was sared by puing differen concenraions of he 3 species

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

Chapter 4. Location-Scale-Based Parametric Distributions. William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University

Chapter 4. Location-Scale-Based Parametric Distributions. William Q. Meeker and Luis A. Escobar Iowa State University and Louisiana State University Chaper 4 Locaion-Scale-Based Parameric Disribuions William Q. Meeker and Luis A. Escobar Iowa Sae Universiy and Louisiana Sae Universiy Copyrigh 1998-2008 W. Q. Meeker and L. A. Escobar. Based on he auhors

More information

- The whole joint distribution is independent of the date at which it is measured and depends only on the lag.

- The whole joint distribution is independent of the date at which it is measured and depends only on the lag. Saionary Processes Sricly saionary - The whole join disribuion is indeenden of he dae a which i is measured and deends only on he lag. - E y ) is a finie consan. ( - V y ) is a finie consan. ( ( y, y s

More information

Appendix to Creating Work Breaks From Available Idleness

Appendix to Creating Work Breaks From Available Idleness Appendix o Creaing Work Breaks From Available Idleness Xu Sun and Ward Whi Deparmen of Indusrial Engineering and Operaions Research, Columbia Universiy, New York, NY, 127; {xs2235,ww24}@columbia.edu Sepember

More information

Anno accademico 2006/2007. Davide Migliore

Anno accademico 2006/2007. Davide Migliore Roboica Anno accademico 2006/2007 Davide Migliore migliore@ele.polimi.i Today Eercise session: An Off-side roblem Robo Vision Task Measuring NBA layers erformance robabilisic Roboics Inroducion The Bayesian

More information

1 birth rate γ (number of births per time interval) 2 death rate δ proportional to size of population

1 birth rate γ (number of births per time interval) 2 death rate δ proportional to size of population Scienific Comuing I Module : Poulaion Modelling Coninuous Models Michael Bader Par I ODE Models Lehrsuhl Informaik V Winer 7/ Discree vs. Coniuous Models d d = F,,...) ) =? discree model: coninuous model:

More information

Stopping Brownian Motion without Anticipation as Close as Possible to its Ultimate Maximum

Stopping Brownian Motion without Anticipation as Close as Possible to its Ultimate Maximum Theory Probab. Al. Vol. 45, No.,, (5-36) Research Reor No. 45, 999, De. Theore. Sais. Aarhus Soing Brownian Moion wihou Aniciaion as Close as Possible o is Ulimae Maximum S. E. GRAVERSEN 3, G. PESKIR 3,

More information

Expert Advice for Amateurs

Expert Advice for Amateurs Exper Advice for Amaeurs Ernes K. Lai Online Appendix - Exisence of Equilibria The analysis in his secion is performed under more general payoff funcions. Wihou aking an explici form, he payoffs of he

More information

International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October ISSN

International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October ISSN Inernaional Journal of Scienific & Engineering Research, Volume 4, Issue 10, Ocober-2013 900 FUZZY MEAN RESIDUAL LIFE ORDERING OF FUZZY RANDOM VARIABLES J. EARNEST LAZARUS PIRIYAKUMAR 1, A. YAMUNA 2 1.

More information

The Contradiction within Equations of Motion with Constant Acceleration

The Contradiction within Equations of Motion with Constant Acceleration The Conradicion wihin Equaions of Moion wih Consan Acceleraion Louai Hassan Elzein Basheir (Daed: July 7, 0 This paper is prepared o demonsrae he violaion of rules of mahemaics in he algebraic derivaion

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Random variables. A random variable X is a function that assigns a real number, X(ζ), to each outcome ζ in the sample space of a random experiment.

Random variables. A random variable X is a function that assigns a real number, X(ζ), to each outcome ζ in the sample space of a random experiment. Random variables Some random eperimens may yield a sample space whose elemens evens are numbers, bu some do no or mahemaical purposes, i is desirable o have numbers associaed wih he oucomes A random variable

More information

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff

Laplace transfom: t-translation rule , Haynes Miller and Jeremy Orloff Laplace ransfom: -ranslaion rule 8.03, Haynes Miller and Jeremy Orloff Inroducory example Consider he sysem ẋ + 3x = f(, where f is he inpu and x he response. We know is uni impulse response is 0 for

More information

Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing

Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing Applicaion of a Sochasic-Fuzzy Approach o Modeling Opimal Discree Time Dynamical Sysems by Using Large Scale Daa Processing AA WALASZE-BABISZEWSA Deparmen of Compuer Engineering Opole Universiy of Technology

More information

JOY: The Journal of Yoga Summer 2008, Volume 7, Number 2

JOY: The Journal of Yoga Summer 2008, Volume 7, Number 2 JOY: The Journal o Yoga Summer 008, Volume 7, Number The Mahemaical modeling o Pranic Body Saria*, VKKaiyar**, PPradhan * *Dearmen o Mahemaics & Saisics Gurukul kangri Univerisiy, aridwar, Uarakhand India

More information

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan Ground Rules PC11 Fundamenals of Physics I Lecures 3 and 4 Moion in One Dimension A/Prof Tay Seng Chuan 1 Swich off your handphone and pager Swich off your lapop compuer and keep i No alking while lecure

More information

Overview. COMP14112: Artificial Intelligence Fundamentals. Lecture 0 Very Brief Overview. Structure of this course

Overview. COMP14112: Artificial Intelligence Fundamentals. Lecture 0 Very Brief Overview. Structure of this course OMP: Arificial Inelligence Fundamenals Lecure 0 Very Brief Overview Lecurer: Email: Xiao-Jun Zeng x.zeng@mancheser.ac.uk Overview This course will focus mainly on probabilisic mehods in AI We shall presen

More information

Module 4: Time Response of discrete time systems Lecture Note 2

Module 4: Time Response of discrete time systems Lecture Note 2 Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model

More information

Lecture 4 Notes (Little s Theorem)

Lecture 4 Notes (Little s Theorem) Lecure 4 Noes (Lile s Theorem) This lecure concerns one of he mos imporan (and simples) heorems in Queuing Theory, Lile s Theorem. More informaion can be found in he course book, Bersekas & Gallagher,

More information

Double system parts optimization: static and dynamic model

Double system parts optimization: static and dynamic model Double sysem pars opmizaon: sac and dynamic model 1 Inroducon Jan Pelikán 1, Jiří Henzler 2 Absrac. A proposed opmizaon model deals wih he problem of reserves for he funconal componens-pars of mechanism

More information

Mean-square Stability Control for Networked Systems with Stochastic Time Delay

Mean-square Stability Control for Networked Systems with Stochastic Time Delay JOURNAL OF SIMULAION VOL. 5 NO. May 7 Mean-square Sabiliy Conrol for Newored Sysems wih Sochasic ime Delay YAO Hejun YUAN Fushun School of Mahemaics and Saisics Anyang Normal Universiy Anyang Henan. 455

More information

Key words: EOQ, Deterioration, Stock dependent demand pattern

Key words: EOQ, Deterioration, Stock dependent demand pattern An Invenory Model Wih Sock Dependen Demand, Weibull Disribuion Deerioraion R. Babu Krishnaraj Research Scholar, Kongunadu Ars & Science ollege, oimbaore 64 9. amilnadu, INDIA. & K. Ramasamy Deparmen of

More information

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. XI Control of Stochastic Systems - P.R. Kumar

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. XI Control of Stochastic Systems - P.R. Kumar CONROL OF SOCHASIC SYSEMS P.R. Kumar Deparmen of Elecrical and Compuer Engineering, and Coordinaed Science Laboraory, Universiy of Illinois, Urbana-Champaign, USA. Keywords: Markov chains, ransiion probabiliies,

More information

First Order RC and RL Transient Circuits

First Order RC and RL Transient Circuits Firs Order R and RL Transien ircuis Objecives To inroduce he ransiens phenomena. To analyze sep and naural responses of firs order R circuis. To analyze sep and naural responses of firs order RL circuis.

More information

Chickens vs. Eggs: Replicating Thurman and Fisher (1988) by Arianto A. Patunru Department of Economics, University of Indonesia 2004

Chickens vs. Eggs: Replicating Thurman and Fisher (1988) by Arianto A. Patunru Department of Economics, University of Indonesia 2004 Chicens vs. Eggs: Relicaing Thurman and Fisher (988) by Ariano A. Paunru Dearmen of Economics, Universiy of Indonesia 2004. Inroducion This exercise lays ou he rocedure for esing Granger Causaliy as discussed

More information

Mathematical Theory and Modeling ISSN (Paper) ISSN (Online) Vol 3, No.3, 2013

Mathematical Theory and Modeling ISSN (Paper) ISSN (Online) Vol 3, No.3, 2013 Mahemaical Theory and Modeling ISSN -580 (Paper) ISSN 5-05 (Online) Vol, No., 0 www.iise.org The ffec of Inverse Transformaion on he Uni Mean and Consan Variance Assumpions of a Muliplicaive rror Model

More information

INDEX. Transient analysis 1 Initial Conditions 1

INDEX. Transient analysis 1 Initial Conditions 1 INDEX Secion Page Transien analysis 1 Iniial Condiions 1 Please inform me of your opinion of he relaive emphasis of he review maerial by simply making commens on his page and sending i o me a: Frank Mera

More information

On a problem of Graham By E. ERDŐS and E. SZEMERÉDI (Budapest) GRAHAM stated the following conjecture : Let p be a prime and a 1,..., ap p non-zero re

On a problem of Graham By E. ERDŐS and E. SZEMERÉDI (Budapest) GRAHAM stated the following conjecture : Let p be a prime and a 1,..., ap p non-zero re On a roblem of Graham By E. ERDŐS and E. SZEMERÉDI (Budaes) GRAHAM saed he following conjecure : Le be a rime and a 1,..., a non-zero residues (mod ). Assume ha if ' a i a i, ei=0 or 1 (no all e i=0) is

More information

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh Chaper 5: Conrol Volume Approach and Coninuiy Principle By Dr Ali Jawarneh Deparmen of Mechanical Engineering Hashemie Universiy 1 Ouline Rae of Flow Conrol volume approach. Conservaion of mass he coninuiy

More information

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4. PHY1 Elecriciy Topic 7 (Lecures 1 & 11) Elecric Circuis n his opic, we will cover: 1) Elecromoive Force (EMF) ) Series and parallel resisor combinaions 3) Kirchhoff s rules for circuis 4) Time dependence

More information

Intermediate Macroeconomics: Mid-term exam May 30 th, 2016 Makoto Saito

Intermediate Macroeconomics: Mid-term exam May 30 th, 2016 Makoto Saito 1 Inermediae Macroeconomics: Mid-erm exam May 30 h, 2016 Makoo Saio Try he following hree roblems, and submi your answer in handwrien A4 aers. You are execed o dro your aers ino he mailbox assigned for

More information

Determination of the Sampling Period Required for a Fast Dynamic Response of DC-Motors

Determination of the Sampling Period Required for a Fast Dynamic Response of DC-Motors Deerminaion of he Sampling Period Required for a Fas Dynamic Response of DC-Moors J. A. GA'EB, Deparmen of Elecrical and Compuer Eng, The Hashemie Universiy, P.O.Box 15459, Posal code 13115, Zerka, JORDAN

More information

School and Workshop on Market Microstructure: Design, Efficiency and Statistical Regularities March 2011

School and Workshop on Market Microstructure: Design, Efficiency and Statistical Regularities March 2011 2229-12 School and Workshop on Marke Microsrucure: Design, Efficiency and Saisical Regulariies 21-25 March 2011 Some mahemaical properies of order book models Frederic ABERGEL Ecole Cenrale Paris Grande

More information

Reduction of the Supervisor Design Problem with Firing Vector Constraints

Reduction of the Supervisor Design Problem with Firing Vector Constraints wih Firing Vecor Consrains Marian V. Iordache School of Engineering and Eng. Tech. LeTourneau Universiy Longview, TX 75607-700 Panos J. Ansaklis Dearmen of Elecrical Engineering Universiy of Nore Dame

More information

State-Space Models. Initialization, Estimation and Smoothing of the Kalman Filter

State-Space Models. Initialization, Estimation and Smoothing of the Kalman Filter Sae-Space Models Iniializaion, Esimaion and Smoohing of he Kalman Filer Iniializaion of he Kalman Filer The Kalman filer shows how o updae pas predicors and he corresponding predicion error variances when

More information

Solutions for Assignment 2

Solutions for Assignment 2 Faculy of rs and Science Universiy of Torono CSC 358 - Inroducion o Compuer Neworks, Winer 218 Soluions for ssignmen 2 Quesion 1 (2 Poins): Go-ack n RQ In his quesion, we review how Go-ack n RQ can be

More information

APPLIED ECONOMETRIC TIME SERIES (2nd edition)

APPLIED ECONOMETRIC TIME SERIES (2nd edition) INSTRUCTOR S RESOURCE GUIDE TO ACCOMPANY APPLIED ECONOMETRIC TIME SERIES (2nd ediion) Waler Enders Universiy of Alabama Preared by Pin Chung American Reinsurance Comany and Iowa Sae Universiy Waler Enders

More information

Relaxation. T1 Values. Longitudinal Relaxation. dm z dt. = " M z T 1. (1" e "t /T 1 ) M z. (t) = M 0

Relaxation. T1 Values. Longitudinal Relaxation. dm z dt. =  M z T 1. (1 e t /T 1 ) M z. (t) = M 0 Relaxaion Bioengineering 28A Principles of Biomedical Imaging Fall Quarer 21 MRI Lecure 2 An exciaion pulse roaes he magneiaion vecor away from is equilibrium sae (purely longiudinal). The resuling vecor

More information

Monte Carlo Simulation for Reliability and Availability analyses. November 2016

Monte Carlo Simulation for Reliability and Availability analyses. November 2016 Mone Carlo Simulaion for Reliabiliy and Availabiliy analyses November 206 The experimenal view Conens 3 Sampling Random Numbers Simulaion of sysem ranspor Simulaion for reliabiliy/availabiliy analysis

More information

20. Applications of the Genetic-Drift Model

20. Applications of the Genetic-Drift Model 0. Applicaions of he Geneic-Drif Model 1) Deermining he probabiliy of forming any paricular combinaion of genoypes in he nex generaion: Example: If he parenal allele frequencies are p 0 = 0.35 and q 0

More information

Zhihan Xu, Matt Proctor, Ilia Voloh

Zhihan Xu, Matt Proctor, Ilia Voloh Zhihan Xu, Ma rocor, lia Voloh - GE Digial Energy Mike Lara - SNC-Lavalin resened by: Terrence Smih GE Digial Energy CT fundamenals Circui model, exciaion curve, simulaion model CT sauraion AC sauraion,

More information

Research Article Dual Synchronization of Fractional-Order Chaotic Systems via a Linear Controller

Research Article Dual Synchronization of Fractional-Order Chaotic Systems via a Linear Controller The Scienific World Journal Volume 213, Aricle ID 159194, 6 pages hp://dx.doi.org/1155/213/159194 Research Aricle Dual Synchronizaion of Fracional-Order Chaoic Sysems via a Linear Conroller Jian Xiao,

More information

Embedded Systems 4. Petri nets. Introduced in 1962 by Carl Adam Petri in his PhD thesis. Different Types of Petri nets known

Embedded Systems 4. Petri nets. Introduced in 1962 by Carl Adam Petri in his PhD thesis. Different Types of Petri nets known Embedded Sysems 4 - - Peri nes Inroduced in 962 by Carl Adam Peri in his PhD hesis. Differen Tyes of Peri nes known Condiion/even nes Place/ransiion nes Predicae/ransiion nes Hierachical Peri nes, - 2

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

RC, RL and RLC circuits

RC, RL and RLC circuits Name Dae Time o Complee h m Parner Course/ Secion / Grade RC, RL and RLC circuis Inroducion In his experimen we will invesigae he behavior of circuis conaining combinaions of resisors, capaciors, and inducors.

More information

Shiva Akhtarian MSc Student, Department of Computer Engineering and Information Technology, Payame Noor University, Iran

Shiva Akhtarian MSc Student, Department of Computer Engineering and Information Technology, Payame Noor University, Iran Curren Trends in Technology and Science ISSN : 79-055 8hSASTech 04 Symposium on Advances in Science & Technology-Commission-IV Mashhad, Iran A New for Sofware Reliabiliy Evaluaion Based on NHPP wih Imperfec

More information

fakultät für informatik informatik 12 technische universität dortmund Petri Nets Peter Marwedel TU Dortmund, Informatik /10/10

fakultät für informatik informatik 12 technische universität dortmund Petri Nets Peter Marwedel TU Dortmund, Informatik /10/10 2 Peri Nes Peer Marwedel TU Dormund, Informaik 2 2008/0/0 Grahics: Alexandra Nole, Gesine Marwedel, 2003 Generalizaion of daa flow: Comuaional grahs Examle: Peri nes Inroduced in 962 by Carl Adam Peri

More information

Dead-time Induced Oscillations in Inverter-fed Induction Motor Drives

Dead-time Induced Oscillations in Inverter-fed Induction Motor Drives Dead-ime Induced Oscillaions in Inverer-fed Inducion Moor Drives Anirudh Guha Advisor: Prof G. Narayanan Power Elecronics Group Dep of Elecrical Engineering, Indian Insiue of Science, Bangalore, India

More information

CHAPTER 2 Signals And Spectra

CHAPTER 2 Signals And Spectra CHAPER Signals And Specra Properies of Signals and Noise In communicaion sysems he received waveform is usually caegorized ino he desired par conaining he informaion, and he undesired par. he desired par

More information

More Digital Logic. t p output. Low-to-high and high-to-low transitions could have different t p. V in (t)

More Digital Logic. t p output. Low-to-high and high-to-low transitions could have different t p. V in (t) EECS 4 Spring 23 Lecure 2 EECS 4 Spring 23 Lecure 2 More igial Logic Gae delay and signal propagaion Clocked circui elemens (flip-flop) Wriing a word o memory Simplifying digial circuis: Karnaugh maps

More information

Dynamic Analysis of Damped Driven Pendulum using Laplace Transform Method

Dynamic Analysis of Damped Driven Pendulum using Laplace Transform Method , ISSN 0974-570X (Online), ISSN 0974-578 (Prin), Vol. 6; Issue No. 3; Year 05, Copyrigh 05 by CESER PUBLICATIONS Dynamic Analysis of Damped Driven Pendulum using Laplace Transform Mehod M.C. Agarana and

More information

A 2-Approximation Algorithm for Stochastic Inventory Control Models with Lost Sales

A 2-Approximation Algorithm for Stochastic Inventory Control Models with Lost Sales A 2-Aroximaion Algorihm for Sochasic Invenory Conrol Models wih Los Sales Resef Levi Sloan School of Managemen, MIT, Cambridge, MA, 02139, USA email: resef@mi.edu Ganesh Janakiraman IOMS-OM Grou, Sern

More information

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow.

Lecture 2: Telegrapher Equations For Transmission Lines. Power Flow. Whies, EE 481/581 Lecure 2 Page 1 of 13 Lecure 2: Telegraher Equaions For Transmission Lines. Power Flow. Microsri is one mehod for making elecrical connecions in a microwae circui. I is consruced wih

More information

O.R. Theory and it s Application Multi-Component Commercial Bank Branch Progress and Regress: An Application of Data Envelopment Analysis

O.R. Theory and it s Application Multi-Component Commercial Bank Branch Progress and Regress: An Application of Data Envelopment Analysis Inernaional Mahemaical Forum, 1, 2006, no. 33, 1635-1644 O.R. Theory and i s Alicaion Muli-Comonen Commercial Bank Branch Progress and Regress: An Alicaion of Daa Envelomen Analysis A. Divandari Dearmen

More information

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method Journal of Applied Mahemaics & Bioinformaics, vol., no., 01, 1-14 ISSN: 179-660 (prin), 179-699 (online) Scienpress Ld, 01 Improved Approimae Soluions for Nonlinear Evoluions Equaions in Mahemaical Physics

More information

Basic Circuit Elements Professor J R Lucas November 2001

Basic Circuit Elements Professor J R Lucas November 2001 Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions

More information

The field of mathematics has made tremendous impact on the study of

The field of mathematics has made tremendous impact on the study of A Populaion Firing Rae Model of Reverberaory Aciviy in Neuronal Neworks Zofia Koscielniak Carnegie Mellon Universiy Menor: Dr. G. Bard Ermenrou Universiy of Pisburgh Inroducion: The field of mahemaics

More information