Tools to Proactively Predict Failure The prediction of failures involves uncertainty, and problems associated with failures are inherently probabilistic. Their solution requires optimal tools to analyze strength of evidence and understand failure events and processes to gauge confidence in a design's reliability.Reliability Engineering and Risk Ana
Table of Contents:
Reliability Engineering in Perspective. Basic Reliability Mathematics: Review of Probability and Statistics. Elements of Component Reliability. System Reliability Analysis. Reliability and Availability of Repairable Components and Systems. Selected Topics in Reliability Modeling. Selected Topics in Reliability Data Analysis. Risk Analysis. Appendices. Index.
About the Author :
Mohammad Modarres is a professor of nuclear engineering and reliability engineering. His research areas are system reliability modeling, probabilistic risk analysis, probabilistic physics of failure, and uncertainty modeling and analysis. He is a consultant to several government and private organizations as well as national laboratories. Prof. Modarres has published more than 200 papers in professional journals and proceedings of conferences; three books; and a number of book chapters, edited books, and handbooks. He is a University of Maryland Distinguished Scholar-Teacher, a fellow of the American Nuclear Society, and has received a number of other awards in reliability engineering and risk assessment. Prof. Modarres received his PhD in nuclear engineering from the Massachusetts Institute of Technology (MIT) in 1979 and his MS in mechanical engineering from MIT in 1977.
Mark Kaminskiy is the chief statistician at the Center of Technology and Systems Management, University of Maryland (College Park). Dr. Kaminskiy is a researcher and consultant in reliability engineering, life data analysis, and risk analysis of engineering systems. He has conducted numerous research and consulting projects funded by the government and industrial companies such as the Department of Transportation, the Coast Guard, the Army Corps of Engineers, the Navy, the Nuclear Regulatory Commission, the American Society of Mechanical Engineers, Ford Motor Company, Qualcomm Inc., and several other engineering companies. He has taught several graduate courses on reliability engineering at the University of Maryland. Dr. Kaminskiy is the author or coauthor of over 50 publications in journals, conference proceedings, and reports.
Vasiliy Krivtsov is a senior staff technical specialist in reliability and statistical analysis with Ford Motor Company. He holds MS and PhD degrees in electrical engin
Review :
... explores the practical aspects of the application of theory rather than the derivation of theory. ... goes beyond statistical niceties and into the territory of dealing with real-world problems. The ultimate practical aspect of the book is the link between reliability and risk analysis. By dealing with these two subjects in one single volume, the authors illustrate the importance of building reliability of survival as the basis for risk analysis.
The arrangement of the topics is logical and concise. From the traditional introductory material to the review of reliability mathematics, the book provides information for readers who have never been exposed to reliability engineering. It then moves forward in complexity, with extensive coverage given to reliability subjects such as hardware and software reliability, reliability growth, and modeling and estimation techniques. The last chapter delves into a comprehensive discussion of risk analysis concepts and techniques. This is a very useful book for the practicing reliability engineer and can be used as a reliability engineering textbook. ... highly recommended.
—Shin Ta Liu, Lynx Systems, in ASQ's Quality Progress Reviews
