A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems.
Includes:
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Michael Todinov Oxford Brookes University, UK
Reliability and Risk Models: Setting Reliability Requirements, Second Edition, is a comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. This updated edition also features a detailed discussion of common physics-of-failure models and a unique set of 46 generic principles for reducing technical risk, which provide strong support in the quest for capable and reliable products.
Finally, the new edition corrects a number of deeply rooted misconceptions in the field of reliability and risk. For many decades, the Weibull distribution, for example, was considered to be the correct model for predicting the probability of failure of materials initiated by flaws. This book demonstrates that for this specific application, the Weibull distribution is a fundamentally flawed model.
Key features:
Reliability and Risk Models: Setting Reliability Requirements, Second Edition, is a comprehensive reference for reliability engineers and risk and safety analysts, and is an excellent source of information for graduate students in reliability engineering, mathematics, and statistics.
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Hardcover. Condición: new. Hardcover. A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. Includes: A unique set of 46 generic principles for reducing technical riskMonte Carlo simulation algorithms for improving reliability and reducing riskMethods for setting reliability requirements based on the cost of failureNew reliability measures based on a minimal separation of random events on a time intervalOverstress reliability integral for determining the time to failure caused by overstress failure modesA powerful equation for determining the probability of failure controlled by defects in loaded components with complex shapeComparative methods for improving reliability which do not require reliability dataOptimal allocation of limited resources to achieve a maximum risk reductionImproving system reliability based solely on a permutation of interchangeable components A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781118873328
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Condición: New. A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. Series: Quality and Reliability Engineering Series. Num Pages: 456 pages. BIC Classification: TGPR. Category: (P) Professional & Vocational. Dimension: 178 x 252 x 25. Weight in Grams: 818. . 2015. 2nd Edition. Hardcover. . . . . Nº de ref. del artículo: V9781118873328
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Hardcover. Condición: new. Hardcover. A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. Includes: A unique set of 46 generic principles for reducing technical riskMonte Carlo simulation algorithms for improving reliability and reducing riskMethods for setting reliability requirements based on the cost of failureNew reliability measures based on a minimal separation of random events on a time intervalOverstress reliability integral for determining the time to failure caused by overstress failure modesA powerful equation for determining the probability of failure controlled by defects in loaded components with complex shapeComparative methods for improving reliability which do not require reliability dataOptimal allocation of limited resources to achieve a maximum risk reductionImproving system reliability based solely on a permutation of interchangeable components A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for engineering systems. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781118873328
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