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Applied Reliability (Electrical Engineering)
 
 
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Applied Reliability (Electrical Engineering) [Hardcover]

Paul Tobias (Author)
4.5 out of 5 stars  See all reviews (2 customer reviews)

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Applied Reliability, Third Edition Applied Reliability, Third Edition 4.5 out of 5 stars (2)
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Book Description

0442004699 978-0442004699 December 15, 1994 2nd
With over 170 pages of new material, the second edition of this widely used reference provides engineers and statisticians with an updated, easy-to-follow approach to evaluating and projecting component and system reliability by combining standard statistical methods with advanced leading-edge reliability techniques. It includes an extensive treatment of life distribution and accelerated testing models and data analysis and data simulation techniques, as well as quality control methods and algorithms used to predict component and assembly field reliability.

The second edition includes three completely new chapters: two cover "Repairable System Reliability" (both for renewal and non-renewal models), with an emphasis on simple graphical techniques, while also describing analytical methods for reparable system data analysis. A third new chapter surveys areas such as reliability growth modeling, Bayesian reliability analysis, and field reliability monitoring programs.

In addition, this latest edition offers hundreds of new examples, exercises, problems, and references-all designed to provide readers with additional support in understanding and applying the latest reliability testing methods.

In bringing state-of-the-art techniques down to an accessible, how-to level, the second edition of Applied Reliability will serve the practical needs of electronic, mechanical, and industrial engineers involved in the design and manufacture of components and systems, and of statisticians and scientists working on applied reliability problems. It will also be a highly suitable textbook for engineering courses in applied reliability and quality control.

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Editorial Reviews

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.

--This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 424 pages
  • Publisher: Springer; 2nd edition (December 15, 1994)
  • Language: English
  • ISBN-10: 0442004699
  • ISBN-13: 978-0442004699
  • Product Dimensions: 9.3 x 6 x 1.1 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,078,313 in Books (See Top 100 in Books)

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4.5 out of 5 stars (2 customer reviews)
 
 
 
 
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23 of 23 people found the following review helpful:
4.0 out of 5 stars A very good book, but contains some annoying typing errors, August 10, 1997
By A Customer
This review is from: Applied Reliability (Electrical Engineering) (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).
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1 of 1 people found the following review helpful:
5.0 out of 5 stars Overall Best Reliability Engineering Reference, October 2, 2011
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.
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Inside This Book (learn more)
First Sentence:
One of the most useful skills a reliability specialist can develop is the ability to convert a mass (mess?) of data into a form suitable for meaningful analysis. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Solution First, Confidence Coefficient, Graph of Percent Defective, Bayes Rule, Cumulative Percent Failures Figure, Number Confidence Level of Fails
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