Ebook: Introduction to Reliability Analysis: Probability Models and Statistical Methods

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.

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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.

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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.
Content:
Front Matter....Pages i-xiii
System Effectiveness....Pages 1-12
Life Distributions, Models and Their Characteristics....Pages 13-43
Reliability of Composite Systems....Pages 44-66
Reliability of Repairable Systems....Pages 67-83
Graphical Analysis of Life Data....Pages 84-99
Estimation of Life Distributions and System Characteristics....Pages 100-134
Maximum Likelihood Estimators and Confidence Intervals for Specific Life Distributions....Pages 135-159
Bayesian Reliability Estimation and Prediction....Pages 160-176
Reliability Demonstration: Testing and Acceptance Procedures....Pages 177-198
Back Matter....Pages 199-213

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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.
Content:
Front Matter....Pages i-xiii
System Effectiveness....Pages 1-12
Life Distributions, Models and Their Characteristics....Pages 13-43
Reliability of Composite Systems....Pages 44-66
Reliability of Repairable Systems....Pages 67-83
Graphical Analysis of Life Data....Pages 84-99
Estimation of Life Distributions and System Characteristics....Pages 100-134
Maximum Likelihood Estimators and Confidence Intervals for Specific Life Distributions....Pages 135-159
Bayesian Reliability Estimation and Prediction....Pages 160-176
Reliability Demonstration: Testing and Acceptance Procedures....Pages 177-198
Back Matter....Pages 199-213
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