
Engineering Reliability
Richard E. Barlow(Author)
Society for Industrial & Applied Mathematics,U.S. (Publisher)
Will be published approx. on 30. April 1998
Book
Paperback/Softback
219 pages
978-0-89871-405-0 (ISBN)
Description
Engineering reliability concerns failure data analysis, the economics of maintenance policies, and system reliability. This textbook develops the use of probability and statistics in engineering reliability and maintenance problems. The author uses probability models in the analysis of failure data, decision relative to planned maintenance, and prediction relative to preliminary design.
Some of the outstanding features include:
The analysis of failure data for both continuous and discrete probability from a finite population perspective.
Probability models derived from engineering considerations.
An introduction to influence diagrams and decision making.
Use of the operational bayesian approach.
The approach is fresh and interesting; it is motivated from problems in engineering and physical sciences and uses examples to illustrate the methodology. These examples, along with the use of real failure time data, will help the reader apply the techniques to real industrial situations.
This upper undergraduate or first-year graduate level book is largely self-contained relative to the background material required. Each chapter contains exercises, notes, references, and notation. Spreadsheets are used extensively in the exercises, and are also useful for the graphical analysis of failure data contained in the book.
A complimentary instructor's manual is available upon adoption.
Some of the outstanding features include:
The analysis of failure data for both continuous and discrete probability from a finite population perspective.
Probability models derived from engineering considerations.
An introduction to influence diagrams and decision making.
Use of the operational bayesian approach.
The approach is fresh and interesting; it is motivated from problems in engineering and physical sciences and uses examples to illustrate the methodology. These examples, along with the use of real failure time data, will help the reader apply the techniques to real industrial situations.
This upper undergraduate or first-year graduate level book is largely self-contained relative to the background material required. Each chapter contains exercises, notes, references, and notation. Spreadsheets are used extensively in the exercises, and are also useful for the graphical analysis of failure data contained in the book.
A complimentary instructor's manual is available upon adoption.
More details
Series
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 251 mm
Width: 174 mm
Thickness: 15 mm
Weight
385 gr
ISBN-13
978-0-89871-405-0 (9780898714050)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
Preface
Introduction
Part I: Failure Data Analysis. Chapter 1: The Finite Population Exponential Model
Chapter 2: Lifetime Data Analysis
Chapter 3: Counting the Number of Failures
Chapter 4: Strength of Materials
Part II: The Economics of Maintenance Decisions. Chapter 5: The Economics of Maintenance and Inspection
Part III: System Reliability. Chapter 6: Network Reliability
Chapter 7: System Failure Analysis: Fault Trees
Chapter 8: System Availability and Maintainability
Chapter 9: Influence Diagrams
Chapter 10: Making Decisions Using Influence Diagrams
Appendix A.I: Classical Statistics is Logically Untenable
Appendix A.II: Bayesian Decision Analysis is Self-Consistent
References
Index.
Introduction
Part I: Failure Data Analysis. Chapter 1: The Finite Population Exponential Model
Chapter 2: Lifetime Data Analysis
Chapter 3: Counting the Number of Failures
Chapter 4: Strength of Materials
Part II: The Economics of Maintenance Decisions. Chapter 5: The Economics of Maintenance and Inspection
Part III: System Reliability. Chapter 6: Network Reliability
Chapter 7: System Failure Analysis: Fault Trees
Chapter 8: System Availability and Maintainability
Chapter 9: Influence Diagrams
Chapter 10: Making Decisions Using Influence Diagrams
Appendix A.I: Classical Statistics is Logically Untenable
Appendix A.II: Bayesian Decision Analysis is Self-Consistent
References
Index.