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Semi-markov models = control of restorable systems with latent failures /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Semi-markov models/ Yuriy E. Obzherin, Elena G. Boyko.
其他題名:	control of restorable systems with latent failures /
作者:	Obzherin, Yuriy E.,
其他作者:	Boyko, Elena G.,
出版者:	London :Academic Press, : 2015.,
面頁冊數:	1 online resource.
標題:	System analysis - Mathematical models. -
電子資源:	https://www.sciencedirect.com/science/book/9780128022122
ISBN:	9780128024867 (electronic bk.)

Semi-markov models = control of restorable systems with latent failures /
Obzherin, Yuriy E.,

Semi-markov modelscontrol of restorable systems with latent failures /[electronic resource] :Yuriy E. Obzherin, Elena G. Boyko. - London :Academic Press,2015. - 1 online resource.

Includes bibliographical references and index.

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.

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build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.

ISBN: 9780128024867 (electronic bk.)Subjects--Topical Terms:

720410
System analysis
--Mathematical models.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA402

Dewey Class. No.: 003

Semi-markov models = control of restorable systems with latent failures /
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504 $a Includes bibliographical references and index.
505 0 $a 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.
505 8 $a 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.
505 8 $a 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.
505 8 $a 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.
505 8 $a 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 ...
505 8 $a 3.5.1 -- System Description.
520 $a 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.
588 0 $a Online resource; title from PDF title page (ScienceDirect, viewed February 16, 2015).
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650 0 $a Markov processes. $3 527825
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Boyko, Elena G., $e author. $3 1293086
856 4 0 $u https://www.sciencedirect.com/science/book/9780128022122