Modeling for Reliability Analysis Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems

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  • Engels
  • Paperback
  • 9780780334823
  • 08 juni 1998
  • 258 pagina's
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Samenvatting

This text provides coverage of the Markov modelling method, a technique for analyzing the reliability, maintainability and safety of complex systems. It features background material for probability theory and Markov analysis.

Electrical Engineering Modeling for Reliability Analysis Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Computer Systems IEEE Press Series on Engineering of Complex Computer Systems Phillip A. Laplante and Alexander D. Stoyen, Series Editors Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze the safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring groundbreaking simulation software and a comprehensive reference manual, Modeling for Reliability Analysis helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instructions on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet-like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results.

"Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today.

Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations.

Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results."

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Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
08 juni 1998
Aantal pagina's
258
Illustraties
Nee

Betrokkenen

Hoofdauteur
Jan Pukite
Tweede Auteur
Paul Pukite
Co Auteur
Dr Paul Pukite
Hoofduitgeverij
Wiley-Ieee Press

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Extra groot lettertype
Nee
Product breedte
184 mm
Product hoogte
19 mm
Product lengte
260 mm
Studieboek
Ja
Verpakking breedte
181 mm
Verpakking hoogte
16 mm
Verpakking lengte
252 mm
Verpakkingsgewicht
512 g

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9780780334823
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