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Engineering Reliability (ASA-SIAM Series on Statistics and Applied Probability)

โœ Scribed by Richard E. Barlow


Publisher
Society for Industrial Mathematics
Year
1998
Tongue
English
Leaves
221
Category
Library

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โœฆ Synopsis


Prof. Barlow has distilled his knowledge and 25+ years of teaching experience into 190 pages. The text presents the theory very concisely without sacrificing rigor. All the terminology is carefully defined and the meanings are made clear through examples. The examples appear to be drawn from what has been successful in the classroom, and are much more useful than the examples given in early works in this field. The book is divided into three parts, plus a 6 page Introduction to the history and background of the subject. The first part covers Failure Data Analysis. This part defines the terms used later, and develops the mathematics needed in a very intuitive way. The second part covers the Economics of Maintenance Decisions in eleven pages! The third part covers System Reliability. Individual chapters cover Network Reliability, System Failure Analysis, Availability and Maintainability, Influence Diagrams, and Making Decisions Using Influence Diagrams. The book gives very practical, useful information, reflecting its engineering origins. It is the kind of book you will go back to often.

โœฆ Table of Contents


Engineering Reliability......Page 1
Contents......Page 8
Preface......Page 12
Acknowledgments......Page 14
Introduction......Page 16
PART I: Failure Data Analysis......Page 22
CHAPTER 1:The Finite Population Exponential Model......Page 24
CHAPTER 2: Lifetime Data Analysis......Page 38
CHAPTER 3: Counting the Number of Failures......Page 66
CHAPTER 4: Strength of Materials......Page 94
PART II: The Economics of Maintenance Decisions......Page 110
CHAPTER 5: The Economics of Maintenance and Inspection......Page 112
PART III: System Reliability......Page 124
CHAPTER 6: Network Reliability......Page 126
CHAPTER 7: System Failure Analysis: Fault Trees......Page 142
CHAPTER 8: System Availability and Maintainability......Page 158
CHAPTER 9: Influence Diagrams......Page 170
CHAPTER 10: Making Decisions Using Influence Diagrams......Page 186
APPENDIX A: Classical Statistics Is Logically Untenable......Page 204
APPENDIX B: Bayesian Decision Analysis Is Self-Consistent......Page 208
References......Page 212
Index......Page 216


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