Completely updated with a new edition, this book introduces reliability and risks analysis, for both practicing engineers and engineering students. Since reliability analysis is a multidisciplinary subject, this book draws together a wide range of topics and presents them in a way that applies to most engineering disciplines.
Completely updated for a new edition, this book introduces reliability and risks analysis, for both practicing engineers and engineering students at the undergraduate and graduate levels. Since reliability analysis is a multidisciplinary subject, this book draws together a wide range of topics and presents them in a way that applies to most engineering disciplines.
What Every Engineer Should Know About Reliability and Risk Analysis, Second Edition,
emphasizes an introduction and explanation of the practical methods used in reliability and risk studies, with a discussion of their uses and limitations. It offers basic and advanced methods in reliability analysis that are commonly used in daily practice and provides methods that address unique topics such as dependent failure analysis, importance analysis, and analysis of repairable systems. The book goes on to present a comprehensive overview of modern probabilistic life assessment methods such as Bayesian estimation, system reliability analysis, and human reliability. End-of-chapter problems and a solutions manual are available to support any course adoptions.
This book is refined, simple, and focuses on fundamentals. The audience is the beginner with no background in reliability engineering and rudimentary knowledge of probability and statistics. It can be used by new practitioners, undergraduates, and first-year graduate students.
1. Reliability Engineering Perspective and Fundamentals.
2. Basic
Reliability Mathematics: Probability.
3. Elements of Component Reliability.
4. Basic Reliability Mathematics: Statistics.
5. Reliability Data Analysis
and Model Selection.
6. System Reliability Analysis.
7. Reliability and
Availability of Repairable Components and Systems.
8. Selected Advanced
Topics in Reliability and Risk Analysis.
9. Risk Analysis. Appendix A:
Statistical Tables. Appendix B: Generic Failure Data
Mohammad Modarres is the Nicole Y. Kim Eminent Professor of Engineering and Director, Center for Risk and Reliability at the A.J. Clark School of Engineering, University of Maryland, College Park. His research areas are probabilistic risk assessment, uncertainty analysis and probabilistic physics of failure and fracture mechanics. He is a consultant to governmental agencies, private organizations and national laboratories in areas related to probabilistic risk assessment. His interests in risk, reliability, structural integrity and prognosis and health management include both experimental and probabilistic model development efforts. He has over 500 papers in archival journals and proceedings of conferences that include multiple books and book chapters in various areas of risk and reliability engineering. He is a University of Maryland Distinguished Scholar-Teacher and a fellow of the American Nuclear Society. Dr. Modarres received his BS in Mechanical Engineering from Tehran Polytechnic, MS in Mechanical Engineering from MIT, and MS and PhD in Nuclear Engineering also from MIT.
Katrina Groth is an associate professor of Mechanical Engineering and the associate director for research for the Center for Risk and Reliability at the University of Maryland. Her work focuses on engineering safer systems through risk assessment and reliability engineering, with applications ranging from hydrogen fueling stations to nuclear power plants to pipelines. Dr. Groth holds a B.S. in Engineering and M.S. and Ph.D. in Reliability Engineering from the University of Maryland and has published over 60 journal and conference papers, multiple software packages, and holds 2 patents.
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