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Introduction to Reliability Analysis

Probability Models and Statistical Methods

  • Textbook
  • © 1992

Overview

Authors:
  1. Shelemyahu Zacks

    1. Department of Mathematical Sciences, State University of New York at Binghamton, Binghamton, USA

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Part of the book series: Springer Texts in Statistics (STS)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiii
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  2. System Effectiveness

    • Shelemyahu Zacks
    Pages 1-12

  3. Life Distributions, Models and Their Characteristics

    • Shelemyahu Zacks
    Pages 13-43

  4. Reliability of Composite Systems

    • Shelemyahu Zacks
    Pages 44-66

  5. Reliability of Repairable Systems

    • Shelemyahu Zacks
    Pages 67-83

  6. Graphical Analysis of Life Data

    • Shelemyahu Zacks
    Pages 84-99

  7. Estimation of Life Distributions and System Characteristics

    • Shelemyahu Zacks
    Pages 100-134

  8. Maximum Likelihood Estimators and Confidence Intervals for Specific Life Distributions

    • Shelemyahu Zacks
    Pages 135-159

  9. Bayesian Reliability Estimation and Prediction

    • Shelemyahu Zacks
    Pages 160-176

  10. Reliability Demonstration: Testing and Acceptance Procedures

    • Shelemyahu Zacks
    Pages 177-198

  11. Back Matter

    Pages 199-213
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Keywords

About this book

Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook presents an introduction to reliability analysis of repairable and non-repairable systems. It is based on courses given to both undergraduate and graduate students of engineering and statistics as well as in workshops for professional engineers and scientists. As aresult, the book concentrates on the methodology of the subject and on understanding theoretical results rather than on its theoretical development. An intrinsic aspect of reliability analysis is that the failure of components is best modelled using techniques drawn from probability and statistics. Professor Zacks covers all the basic concepts required from these subjects and covers the main modern reliability analysis techniques thoroughly. These include: the graphical analysis of life data, maximum likelihood estimation and bayesian likelihood estimation. Throughout the emphasis is on the practicalities of the subject with numerous examples drawn from industrial and engineering settings.

Reviews

"This is a nice book which touches on diverse subjects in the area of reliability theory... Particularly impressive is the abundance of numerical examples which illustrate in detail almost all the procedures... a welcome addition..."
(Zentralblatt fuer Mathematik)

Authors and Affiliations

  • Department of Mathematical Sciences, State University of New York at Binghamton, Binghamton, USA

    Shelemyahu Zacks

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