Reliability Engineering: Theory and Practice by Alessandro Birolini (PDF)

Description

This book shows how to build in and assess reliability, availability, maintainability, and safety (RAMS) of components, equipment, and systems. It presents the state of the art of reliability (RAMS) engineering, in theory & practice, and is based on over 30 years author’s experience in this field, half in industry and half as Professor of Reliability Engineering at the ETH, Zurich. The book structure allows rapid access to practical results. Methods & tools are given in a way that they can be tailored to cover different RAMS requirement levels. Thanks to Appendices A6 – A8 the book is mathematically self-contained, and can be used as a textbook or as a desktop reference with a large number of tables (60), figures (210), and examples / exercises^ 10,000 per year since 2013) were the motivation for this final edition, the 13th since 1985, including German editions. Extended and carefully reviewed to improve accuracy, it represents the continuous improvement effort to satisfy reader’s needs and confidence. New are an introduction to risk management with structurally new models based on semi-Markov processes & to the concept of mean time to accident, reliability & availability of a k-out-of-n redundancy with arbitrary repair rate for n – k=2, 10 new homework problems, and refinements, in particular, on multiple failure mechanisms, approximate expressions, incomplete coverage, data analysis, and comments on ë, MTBF, MTTF, MTTR, R, PA.

User’s Reviews

Editorial Reviews: Review “The book presents in a very balanced way theory and aspects of practical implementation, offering to the reader a reference point for the most important and widely used methods. … this is an excellent book that can stand as a reference point for scientists and practitioners working on reliability engineering as it presents in a comprehensive and understandable way both basic and advanced relevant concepts.” (Athanasios Kolios, The Aeronautical Journal, Vol. 123 (1266), August, 2019)“This book shows how to build in and assess reliability, availability, maintainability, and safety (RAMS) into components, equipment, and systems. It presents the state of the art of RAMS with respect to both theory and practice of the discipline. The book structure allows rapid access to practical results. … the book is extremely well-written. This reviewer recommends the book strongly both as a desktop reference and an instructional text.” (Kenneth P. LaSala, Reliability Society Newsletter, Vol. 63 (3), November, 2017) From the Back Cover This book shows how to build in and assess reliability, availability, maintainability, and safety (RAMS) of components, equipment, and systems. It presents the state-of-the-art of reliability (RAMS) engineering, in theory & practice, and is based on over 30 years author’s experience in this field, half in industry and half as Professor of Reliability Engineering at the ETH, Zurich. The book structure allows rapid access to practical results. Methods & tools are given in a way that they can be tailored to cover different RAMS requirement levels. Thanks to Appendices A6 – A8 the book is mathematically self-contained, and can be used as a text book or as a desktop reference with a large number of tables (60), figures (210), and examples / exercises (220, of which 80 as problems for homework). The request for a Chinese translation of this book and the very high eBook requirements ( > 10,000 per year since 2013) were the motivation for this final edition, the 13th since 1985, including German editions. Extended and carefully reviewed to improve accuracy, it represents the continuous improvement effort to satisfy reader’s needs and confidence. New are an introduction to risk management with structurally new models based on semi- Markov processes & to the concept of mean time to accident, reliability & availability of a k-out-of-n redundancy with arbitrary repair rate for n – k=2, 10 new homework problems, and refinements, in particular, on multiple failure mechanisms, approximate expressions for large complex systems, data analysis, comments on , MTBF, MTTF, MTTR, R, PA.

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