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001431872 001__ 1431872
001431872 003__ OCoLC
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001431872 019__ $$a1191067105$$a1191189682$$a1198817018$$a1240518354
001431872 020__ $$a9783030524883$$q(electronic bk.)
001431872 020__ $$a3030524884$$q(electronic bk.)
001431872 020__ $$a9783030524890$$q(print)
001431872 020__ $$a3030524892
001431872 020__ $$a9783030524906$$q(print)
001431872 020__ $$a3030524906
001431872 020__ $$z3030524876
001431872 020__ $$z9783030524876
001431872 0247_ $$a10.1007/978-3-030-52488-3$$2doi
001431872 0248_ $$a10.1007/978-3-030-52
001431872 035__ $$aSP(OCoLC)1193134618
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001431872 049__ $$aISEA
001431872 050_4 $$aTA169
001431872 08204 $$a620/.00452$$223
001431872 1001_ $$aLisnianski, Anatoly.
001431872 24510 $$aModern dynamic reliability analysis for multi-state systems :$$bstochastic processes and the Lz-transform /$$cAnatoly Lisnianski, Ilia Frenkel, Lev Khvatskin.
001431872 260__ $$aCham, Switzerland :$$bSpringer,$$c[2021]
001431872 300__ $$a1 online resource (195 pages)
001431872 336__ $$atext$$btxt$$2rdacontent
001431872 337__ $$acomputer$$bc$$2rdamedia
001431872 338__ $$aonline resource$$bcr$$2rdacarrier
001431872 347__ $$atext file
001431872 347__ $$bPDF
001431872 4901_ $$aSpringer series in reliability engineering
001431872 500__ $$a5 The LZ-Transform Application for Availability Assessment of Air Conditioning System for Chemical Laboratories
001431872 504__ $$aIncludes bibliographical references.
001431872 5050_ $$aIntro -- Preface -- Contents -- 1 Generic Model of Multi-state System. Reliability, Availability and Performability in Dynamic Modes -- 1.1 Generic Multi-state System Model -- 1.2 Reliability, Availability and Performability of Multi-state System -- 1.2.1 Reliability Measures of Multi-state Systems -- 1.2.2 Availability Measures of Multi-state Systems -- 1.2.3 Performability Measures of Multi-state Systems -- 1.3 Summary -- References -- 2 Stochastic Processes Methods for MSS Reliability, Availability and Performability Assessment -- 2.1 General Concepts of Stochastic Processes Theory
001431872 5058_ $$a2.2 Markov Models: Discrete-Time Markov Chains -- 2.2.1 Basic Definitions and Properties -- 2.2.2 Computation of n-Step Transition Probabilities and State Probabilities -- 2.3 Markov Models: Continuous-Time Markov Chains -- 2.3.1 Basic Definitions and Properties -- 2.3.2 Markov Models for Evaluating Reliability of Multi-state Elements -- References -- 3 LZ-Transform and Inverse LZ-Transform of a Discrete-State Continuous-Time Markov Process -- 3.1 LZ-Transform -- 3.1.1 LZ-Transform Definition -- 3.1.2 Existence and Uniqueness -- 3.1.3 LZ-Transform's Properties
001431872 5058_ $$a3.1.4 LZ-Transform Application to MSS Reliability Analysis -- 3.2 Inverse LZ-Transform -- 3.2.1 Computational Procedure for Determining Inverse LZ-Transform -- 3.2.2 Determining Set of States and Set of Initial Conditions for Entire MSS -- 3.2.3 Determining Matrix A -- 3.2.4 The Method Application -- 3.2.5 Calculation of Reliability Function and Mean Time to Failure -- 3.2.6 Numerical Example -- 3.3 Summary -- References -- 4 Short-Term Availability, Performability and Reliability Analysis for Power Systems
001431872 5058_ $$a4.1 Short-Term Availability and Performability Evaluation for Coal Fired Power Station by Using LZ-Transform -- 4.1.1 Multi-state Model for a Single Coal Fired Power Generating Unit -- 4.1.2 Short-Term Reliability Analysis for Power Station with Several Coal Fired Units -- 4.1.3 Short-Term Analysis for Power Plant with Three Coal Fired Generating Units -- 4.2 Short-Term Availability and Performability Analysis of Power Plants with Combined Cycle Units -- 4.2.1 Multi-state Markov Model for a Single Combined Cycle Generating Unit and LZ-Transform for Its Output Generating Capacity Process
001431872 5058_ $$a4.2.2 Multi-state Reliability Analysis for Power System, Consisting of Number Combine Cycle Generating Units -- 4.2.3 Short-Term Availability and Performability Analysis for Power Station with Three Combine-Cycle Units. Case Study -- 4.3 Short-Term Reliability and Risk Evaluation for Power System Using Inverse LZ-Transform -- 4.3.1 Inverse LZ-Transform Application to Risk Function Evaluation for Power Station -- 4.3.2 Risk Evaluation for Power Station with Several Coal-Fired Generating Units. Case Study -- 4.4 Summary -- References
001431872 506__ $$aAccess limited to authorized users.
001431872 520__ $$aThis book discusses recent developments in dynamic reliability in multi-state systems (MSS), addressing such important issues as reliability and availability analysis of aging MSS, the impact of initial conditions on MSS reliability and availability, changing importance of components over time in MSS with aging components, and the determination of age-replacement policies. It also describes modifications of traditional methods, such as Markov processes with rewards, as well as a modern mathematical method based on the extended universal generating function technique, the Lz-transform, presenting various successful applications and demonstrating their use in real-world problems. This book provides theoretical insights, information on practical applications, and real-world case studies that are of interest to engineers and industrial managers as well as researchers. It also serves as a textbook or supporting text for graduate and postgraduate courses in industrial, electrical, and mechanical engineering.
001431872 588__ $$aDescription based on print version record.
001431872 650_0 $$aReliability (Engineering)$$xMathematical models.
001431872 650_0 $$aSystem analysis$$xMathematical models.
001431872 650_6 $$aFiabilité$$xModèles mathématiques.
001431872 650_6 $$aAnalyse de systèmes$$xModèles mathématiques.
001431872 655_0 $$aElectronic books.
001431872 7001_ $$aFrenkel, Ilia,$$d1950-
001431872 7001_ $$aKhvatskin, Lev.
001431872 77608 $$iPrint version:$$aLisnianski, Anatoly.$$tModern Dynamic Reliability Analysis for Multi-State Systems : Stochastic Processes and the Lz-Transform.$$dCham : Springer International Publishing AG, ©2020$$z9783030524876
001431872 830_0 $$aSpringer series in reliability engineering.
001431872 852__ $$bebk
001431872 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-52488-3$$zOnline Access$$91397441.1
001431872 909CO $$ooai:library.usi.edu:1431872$$pGLOBAL_SET
001431872 980__ $$aBIB
001431872 980__ $$aEBOOK
001431872 982__ $$aEbook
001431872 983__ $$aOnline
001431872 994__ $$a92$$bISE