Download PDF Probabilistic Reliability: An Engineering Approach, by Martin L. Shooman
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Probabilistic Reliability: An Engineering Approach, by Martin L. Shooman
Download PDF Probabilistic Reliability: An Engineering Approach, by Martin L. Shooman
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The formulation and interpretation of probabilistic reliability models in analysis and the utilization of these techniques for reliability design are the main themes of this book. It was written as a text for college and industrial courses in reliability and for an engineering audience of a first-year graduate school or senior undergraduate level. This second edition material on important new topics including fault-tolerant computers, software reliability, and risk analysis.
- Sales Rank: #3923075 in Books
- Published on: 1990-08
- Original language: English
- Dimensions: 9.50" h x 6.50" w x 1.75" l, 2.60 pounds
- Binding: Hardcover
- 702 pages
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The Comprehensive Classic in the Field of Reliability Engine
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The main theme of this book is the formulation and interpretation of probabilistic reliability models in analysis and the utilization of these techniques for reliability design. The book is written as a text for college and industrial courses in reliability and is intended for an engineering audience at the level of first-year graduate school or senior undergraduate. The book developes the basics from fundamental probabiity theory which is covered in detail in Chapter 2. The contents are:
Chapter 1 Introduction Chapter 2 Mathematical Background: The basis of probability theory is developed from fundamentals at the level of a Junior Undergraduate. Chapter 3 Combinatorial Reliability: Reliability of series, parallel, bridge, r:n configurations. General techniques in terms of event space and cut-sets and tie-sets. Chapter 4 Catastrophic Failure Models: Treatment of Failure Data, Density Functions, Distribution Functions, Failure Rate (hazard functions), Decreasing, Constant, Increasing, Weibull failure rates. Chapter 5 System Reliability: How Combinatorial Reliability Formulas and Failure Rate Models combine to form a System Reliability Model, Approximations, Markov Models for Repairable Systems, Availability. Chapter 6 Reliability Improvement: Reducing Component Failure Rate, System Redundancy, Component Redundancy, Repair, Availability, Digital Voting Systems. Chapter 7 Drift Failures, Component Tolerances, and Parameter Variations: Analysis of System Failures due to Aging, Drift, and Parameter Variations. Chapter 8 Reliability Physics Models and Statistical Parameter Estimation: Stress-Strength Models applicable to Structural Reliability Analysis Appendices A - K: Covering topics such as Monte Carlo Simulation, Fault-Tree Analysis, Event-Tree Models, Advanced Availability Modeling Techniques, Software Reliability, Fault-Tolerant Computing, Safety and Risk Analysis, and Failure Rate Data Sources. If you buy one book on reliability, this is the definitive one to get. Understandable presentation and development for the beginner or advanced analyst and system designer.
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