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 models 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 Status Functions System Structures and Status Functions Modules of Systems Multistate Components and Systems Exercises Reliability of System Structures Probability Elements Reliability of System Structures Modules Reliability Importance Reliability Allocation Conclusion Exercises Reliability Over Time Reliability Measures Life Distributions System Level Models Exercises Failure Processes Mechanical Failure Models Electronic Failure Models Other Failure Models Exercises Age Acceleration Age Acceleration for Electronic Devices Age Acceleration for Mechanical Devices Step Stress Strategies Exercises Nonparametric Statistical Methods Data Set Notation and Censoring Estimates Based on Order Statistics Estimates and Confidence Intervals Tolerance Bounds TTT Transforms Exercises Parametric Statistical Methods Graphical Models Method of Moments Method of Maximum Likelihood Special Topics Exercises Repairable Systems I—Renewal and Instantaneous Repair Renewal Processes Classification of Distributions and Bounds on Renewal Measures Residual Life Distribution Conclusion Exercises Repairable Systems II—Non-Renewal and Instantaneous Repair Minimal Repair Models Imperfect Repair Models Equivalent Age Models Conclusion Exercises Availability Analysis Availability Measures Example Computations System-Level Availability The Nonrenewal Cases Markov Models Exercises Preventive Maintenance Replacement Policies Nonrenewal Models Conclusion Acknowledgement Exercises Predictive Maintenance System Deterioration Inspection Scheduling More Complete Policy Analysis Conclusion Exercises Special Topics Warranties Reliability Growth Dependent Components Bivariate Reliability Acknowledgement Exercises Appendix A: Numerical Approximations Normal Distribution Function Gamma Function Psi Function Appendix B: Numerical Evaluation of Weibull Renewal Functions Appendix C: Laplace Transform for the Key Renewal Theorem Bibliography Index