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Applied Reliability, Third Edition Hardcover – Aug 26 2011
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"I have used the second edition of this book for an Introduction to Reliability course for over 15 years. … The third edition … retains the features I liked about the second edition. In addition, it includes improved graphics … [and] examples of popular software used in industry … There is a new chapter on Bayesian reliability and additional material on reliability data plotting, and repairable systems’ analysis. … The book does a good and comprehensive job of explaining the basic reliability concepts; types of data encountered in practice and how to treat this data; reliability data plotting; and the common probability distributions used in reliability work, including motivations for their use and practical areas of application. … an excellent choice for a first course in reliability. The book also does a good job of explaining more advanced topics … the book will continue to be a popular desk reference in industry and a textbook for advanced undergraduate or first-year graduate students."
―Journal of the American Statistical Association, June 2014
About the Author
Dr. David C. Trindade is the chief officer of best practices and fellow at Bloom Energy. He was previously a distinguished principal engineer at Sun Microsystems, senior director of software quality at Phoenix Technologies, senior fellow and director of reliability and applied statistics at Advanced Micro Devices, worldwide director of quality and reliability at General Instruments, and advisory engineer at IBM. He has also been an adjunct lecturer at the University of Vermont and Santa Clara University, teaching courses in statistical analysis, reliability, probability, and applied statistics. In 2008, he was the recipient of the IEEE Reliability Society’s Lifetime Achievement Award.
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Most Helpful Customer Reviews on Amazon.com (beta)
However, prerequisites for reading this book must be clearly stated; i.e. what basics are required, are the basics given in the books enough, etc.
Some typos appear in description of table/figure (i.e. table 6.7 written as table 1.7).
Also some computational errors appeared in the answers to selected problems.
These are indeed small errors, however they detract from a good book's image.
Especially for new students in reliability and would-be practicioners, the answers to the problems in the book are very necessary to provide concept/technique mastery and understanding check. Why do not the authors provide answers to ALL problems?
One possible thing to add to the contents is the design of reliability experiments, i.e. the general concepts and some examples drawn from some areas of interest (mechanical, electrical).
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