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Modeling for Reliability Analysis : Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems, Paperback / softback Book

Modeling for Reliability Analysis : Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems Paperback / softback

Part of the IEEE Press Series on Engineering of Complex Computer Systems series

Paperback / softback

Available to Order - This title is available to order, with delivery expected within 2 weeks

Description

"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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£157.95

Available to Order - This title is available to order, with delivery expected within 2 weeks
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