05807cam a2200577Ki 4500 ocn903488788 OCoLC 20190328114810.0 m o d cr cnu|||unuuu 150216s2015 enk ob 001 0 eng d N$T eng rda pn N$T OPELS N$T E7B OCLCF YDXCP UMI EBLCP DEBSZ OCLCO B24X7 COO DEBBG IDB VGM OCLCQ K6U MERUC U3W D6H CEF OCLCA AU@ OCLCQ TKN CUY LOA ZCU ICG COCUF DKC 903858628 913971952 9780128024867 (electronic bk.) 0128024860 (electronic bk.) 0128022124 9780128022122 9780128022122 (OCoLC)903488788 (OCoLC)903858628 (OCoLC)913971952 QA402 SCI 064000 bisacsh TEC 029000 bisacsh 003 23 Obzherin, Yuriy E., author. Semi-markov models : control of restorable systems with latent failures / [electronic resource] Yuriy E. Obzherin, Elena G. Boyko. London : Academic Press, 2015. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Online resource; title from PDF title page (ScienceDirect, viewed February 16, 2015). Cover; Title page; Copyright Page; Contents; Preface; List of Notations and Abbreviations; Introduction; Chapter 1 -- Preliminaries; 1.1 -- Strategies and characteristics of technical Control; 1.2 -- Preliminaries on renewal theory; 1.3 -- Preliminaries on semi-Markov processes with arbitrary phase space of states; Chapter 2 -- Semi-Markov Models of One-Component Systems with Regard to Control of Latent Failures; 2.1 -- The System Model With Component Deactivation While Control Execution; 2.1.1 -- The System Description; 2.1.2 -- Semi-Markov Model Building. 2.1.3 -- Definition of EMC Stationary Distribution2.1.4 -- Stationary Characteristics Definition; 2.2 -- The System Model Without Component Deactivation While Control Execution; 2.2.1 -- The System Description; 2.2.2 -- Semi-Markov Model Building; 2.2.3 -- Definition of EMC Stationary Distribution; 2.2.4 -- Stationary Characteristics Definition; 2.3 -- Approximation of Stationary Characteristics of One-Component System Without Component Deactivation; 2.3.1 -- System Description; 2.3.2 -- Semi-Markov Model Building of the Supporting System. 2.3.3 -- Definition of EMC Stationary Distribution for Supporting System2.3.4 -- Approximation of the System Stationary Characteristics; 2.4 -- The System Model With Component Deactivation and Possibility of Control Errors; 2.4.1 -- System Description; 2.4.2 -- Semi-Markov Model Building; 2.4.3 -- Definition of EMC Stationary Distribution; 2.4.4 -- System Stationary Characteristics Definition; 2.5 -- The System Model With Component Deactivation and Preventive Restoration; 2.5.1 -- System Description; 2.5.2 -- Semi-Markov model building; 2.5.3 -- Definition of the EMC Stationary Distribution. 2.5.4 -- Definition of the System Stationary CharacteristicsChapter 3 -- Semi-Markov Models of Two-Component Systems with Regard to Control of Latent Failures; 3.1 -- The Model of Two-Component Serial System with Immediate Control and Restoration; 3.1.1 -- System Description; 3.1.2 -- Semi-Markov Model Building; 3.1.3 -- Definition of EMC Stationary Distribution; 3.1.4 -- Stationary Characteristics Definition; 3.2 -- The Model of Two-Component Parallel System with Immediate Control and Restoration; 3.2.1 -- System Description; 3.2.2 -- Definition of System Stationary Characteristics. 3.3 -- The Model of Two-Component Serial System with Components Deactivation while Control Execution, the Distribution of Co ... 3.3.1 -- System Description; 3.3.2 -- Semi-Markov Model Building; 3.3.3 -- Definition of EMC Stationary Distribution; 3.3.4 -- Stationary Characteristics Definition; 3.4 -- The Model of Two-Component Parallel System with Components Deactivation While Control Execution, the Distribution of ... ; 3.4.1 -- Definition of EMC Stationary Distribution; 3.5 -- Approximation of Stationary Characteristics of Two-Component Serial Systems with Components Deactivation while Contro ... 3.5.1 -- System Description. Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems, and technical control. Beginning with a brief introduction to the area, the book covers semi-Markov models for different control strategies in one-component systems, defining their stationary characteristics of reliability and efficiency, and uti. System analysis Mathematical models. Markov processes. SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh Markov processes. fast (OCoLC)fst01010347 System analysis Mathematical models. fast (OCoLC)fst01141393 Electronic books. Electronic books. lcgft Boyko, Elena G., author. Print version: Obzherin, Yuriy E. Semi-Markov Models : Control of Restorable Systems with Latent Failures. Burlington : Elsevier Science, �2015 9780128022122 ScienceDirect http://www.sciencedirect.com/science/book/9780128022122 247044 247044