Applied Reliability / Edition 3

by Paul A. Tobias, David Trindade

Overview

Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well-chosen clicks of a mouse. However, software documentation has had difficulty keeping up with the enhanced functionality added to new releases, especially in specialized areas such as reliability analysis.

Using analysis capabilities in spreadsheet software and two well-maintained, supported, and frequently updated, popular software packages—Minitab and SAS JMP—the third edition of Applied Reliability is an easy-to-use guide to basic descriptive statistics, reliability concepts, and the properties of lifetime distributions such as the exponential, Weibull, and lognormal. The material covers reliability data plotting, acceleration models, life test data analysis, systems models, and much more. The third edition includes a new chapter on Bayesian reliability analysis and expanded, updated coverage of repairable system modeling.

Taking a practical and example-oriented approach to reliability analysis, this book provides detailed illustrations of software implementation throughout and more than 150 worked-out examples done with JMP, Minitab, and several spreadsheet programs. In addition, there are nearly 300 figures, hundreds of exercises, and additional problems at the end of each chapter, and new material throughout.

Software and other files are available for download online

Product Details

ISBN-13:	9781584884668
Publisher:	Taylor & Francis
Publication date:	08/26/2011
Pages:	600
Product dimensions:	7.10(w) x 10.00(h) x 1.30(d)

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.

Table of Contents

Basic Descriptive Statistics. Reliability ConceptsExponential Distribution. Weibull Distribution. The Normal and Lognormal Distributions. Reliability Data Plotting. Analysis of Multicensored Data. Physical Acceleration Models. Alternative Reliability Models. System Failure Modeling: Bottom-Up Approach. Quality Control in Reliability: Applications of Discrete Distributions. Repairable Systems Part I: Nonparametric Analysis and Renewal Processes. Repairable Systems Part II: Nonrenewal Processes. Bayesian Reliability Evaluation. Answers to Selected Exercises. References. Index.

Editorial Reviews

A revised and updated (1st ed., 1986) reference-text that provides engineers and statisticians with an approach to evaluating and projecting component and system reliability by combining standard statistical methods with advanced reliability techniques. This edition adds three new chapters, two of which cover Repairable System Reliability (for both renewal and non-renewal models), and the third of which surveys areas such as reliability growth modeling, Bayesian reliability analysis, and field reliability monitoring programs. There are also many new examples with detailed solutions, new exercises located throughout the text (many with answers given at the back), and additional problems following each chapter. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

"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

From the Publisher