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