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Applied Reliability, Third Edition Hardcover – Aug 26 2011


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Product Details

  • Hardcover: 600 pages
  • Publisher: Chapman and Hall/CRC; 3 edition (Aug. 26 2011)
  • Language: English
  • ISBN-10: 1584884665
  • ISBN-13: 978-1584884668
  • Product Dimensions: 3.2 x 18.4 x 26 cm
  • Shipping Weight: 1.2 Kg
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: #757,729 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

Review

"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

Format: Hardcover
I found this book readable and covers what I bought it for, namely, the use of Weibull statistics in reliability. It also covers many other topics that I have not gotten to yet. I'm satisfied
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 5 reviews
25 of 25 people found the following review helpful
A very good book, but contains some annoying typing errors Aug. 10 1997
By A Customer - Published on Amazon.com
Format: Hardcover
A book with a very application oriented treatment of reliability, based on electronics industries experience. It uses an advanced style of explanation, i.e. assumes that readers have mastered certain topics/knowledge/techniques in reliability.
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).
2 of 2 people found the following review helpful
Overall Best Reliability Engineering Reference Oct. 2 2011
By Book Fan - Published on Amazon.com
Format: Hardcover
Having used the various editions of Reliability Engineering in my work for many years, I can report that I have found it to be the most useful reference available. While there are many other books about reliability engineering, the others are either too applied (overly focused on the engineering) or too mathematical (not concerned enough with the application). This text has found the sweet spot: not only does it do due diligence to the mathematics without getting lost in it, it also ties the computational techniques to problems similar to those in my work. In addition this new edition shows how to use readily accessible computer applications for the necessary calculations, a very useful added benefit.
Added bookmark can not be recalled April 1 2014
By Fredric Yeung - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Book is good. For Kindle version, when I try to add bokmark and go back later. I found bookmarks are not appeared in the "Go To" list (just have choice of "Cover" and "Page"). Where's my bookmarks gone ?
Great book! Very easy to read and understand Feb. 3 2013
By Tiffany Wang - Published on Amazon.com
Format: Hardcover Verified Purchase
This is the required textbook from my Quality and Reliability class. I had very limited knowledge of statistics but this book is very easy to read and understand for me.
Still relevant in late 2014 Sept. 4 2014
By Don MacArthur - Published on Amazon.com
Format: Hardcover Verified Purchase
My only regret is that I didn't read this book sooner and before reading all the other reliability engineering books I read that were heavy on theory and math. The other reviews pretty much some it up. Great book that is still relevant in late 2014. Read this and 50 ways to improve product reliability by Mike Silverman and you can't go wrong.


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