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

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build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

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Obzherin, Yuriy E. (Autor), Boyko, Elena G. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, 2015.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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100 1 |a Obzherin, Yuriy E.,  |e author. 
245 1 0 |a Semi-markov models :  |b control of restorable systems with latent failures /  |c Yuriy E. Obzherin, Elena G. Boyko. 
264 1 |a London :  |b Academic Press,  |c 2015. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (ScienceDirect, viewed February 16, 2015). 
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. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a System analysis  |x Mathematical models. 
650 0 |a Markov processes. 
650 2 |a Markov Chains 
650 6 |a Analyse de systèmes  |x Modèles mathématiques. 
650 6 |a Processus de Markov. 
650 7 |a SCIENCE  |x System Theory.  |2 bisacsh 
650 7 |a TECHNOLOGY & ENGINEERING  |x Operations Research.  |2 bisacsh 
650 7 |a Markov processes  |2 fast 
650 7 |a System analysis  |x Mathematical models  |2 fast 
700 1 |a Boyko, Elena G.,  |e author. 
758 |i has work:  |a Semi-markov models control of restorable systems with latent failures (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGGGFDjDvJxgwcq68WMWrC  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Obzherin, Yuriy E.  |t Semi-Markov Models : Control of Restorable Systems with Latent Failures.  |d Burlington : Elsevier Science, ©2015  |z 9780128022122 
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