Reliability Engineering: Probabilistic Models and Maintenance Methods(Mechanical Engineering)

Without proper reliability and maintenance planning, even the most efficient and seemingly cost-effective designs can incur enormous expenses due to repeated or catastrophic failure and subsequent search for the cause. Today’s engineering students face increasing pressure from employers, customers, and regulators to produce cost-efficient designs that are less prone to failure and that are safe and easy to use. An understanding of reliability principles and maintenance planning can help accomplish these conflicting goals. Presenting an integrated approach to reliability evaluation and maintenance planning, Reliability Engineering: Probabilistic Models and Maintenance Methods provides comprehensive coverage of the fundamental concepts of reliability theory, basic models, and various methods of analysis. It contains numerous examples and homework problems in each chapter. The first six chapters sequentially outline each basic concept of reliability theory, followed by two chapters on commonly used statistical methods for evaluating component reliability. The book concludes with five chapters on repairable systems and maintenance planning, a chapter devoted to special topics such as warranties, and appendices on numerical computation. With an accessible blend of mathematical rigor and readability, Reliability Engineering is the ideal introductory textbook for graduate students in reliability theory and engineering, repairable systems analysis, operations research methods, and applied random processes.

Table of Contents:
Preface. Introduction. System Structures. Reliability of System Structures. Reliability Over Time. Failure Processes. Age Acceleration. Nonparametric Statistical Models. Parametric Statistical Models. Repairable Systems I—Renewal and Instantaneous Repair. Repairable Systems II—Non-Renewal and Instantaneous Repair. Availability Analysis. Preventive Maintenance. Predictive Maintenance. Special Topics. Appendix A: Numerical Approximations. Appendix B: Numerical Evaluation of Weibull Renewal Functions. Appendix C: Laplace Transform for the Key Renewal Theorem. Bibliography.

Review :
“… he discusses the key aspects of reliability engineering, combining mathematical rigor and the needed readability. … covers four fundamental reliability topics in 14 chapters, and provides three appendices on numerical approximation and Laplace transforms. Every chapter contains a number of worked-out examples, a conclusion section, and a set of problems. … book is well organized and illustrated. It is comprehensive, concise, and methodological. With a good balance of mathematical rigor and readability in presenting the reliabity concepts, … has written a great text for both students and practitioners. Students will find it an excellent introduction to reliability concepts and modeling approaches, whereas practitioners will find it a great reference source.” — Ivan D. Damnjanovic, University of Texas in Austin, in Interfaces, Vol. 36, No. 4