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Approaching reliability from the standpoint of substance rather than advanced probability theory and higher mathematics, this book separates the hows from the whys at a level that is relevant to those with only limited technical training as well as those seeking a more analytical framework. Its three-fold presentation (1) describes how reliability is defined and specified; (2) addresses methods of designing reliability; and (3) covers techniques for proving and improving the reliability of a system.
I. THE RELIABILITY OBJECTIVE.
1. I Want What I Want When I Want It!
2. Defining Reliability.
3. Computing Reliability Parameters.
II. MEASURING AND EVALUATING RELIABILITY.
4. Reliability Predictions.
5. Evaluating Data for Failure Rate Estimation.
6. Graphical Evaluation for Reliability Prediction.
8. Reliability Modeling for System Predictions.
9. Reliability Modeling of Complex Systems.
10. System Availability and Dependability.
III. RELIABILITY ASSURANCE AND IMPROVEMENT.
11. Reliability and Restorability Demonstration Testing.
12. Reliability Growth Testing.
13. Risk Assessment.
Appendix A: Review of Probability and Statistics.
Appendix B: Probability Tables.
Appendix C: System MTBF and Availability Tables.