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Archive | 2014

System Reliability Modeling

Kailash C. Kapur; Michael Pecht

In Chap. 3, we have seen the approach and methodology for component reliability modeling. However, the aim of any reliability analysis is to model a system and complete a plant in an integrated manner so that decisions can be made using insights available at the system level and lower down at the component level. Even at the component level, reliability modeling may require an understanding of various operational states and associated failure modes. The analysis may require assessment of the probability of a component in more than one state or condition. For example, analysis of an electronic module may require, apart from the module’s operating state and failed state, the probability of detection and location. Reliability modeling may require modeling for contribution of repair to arrive at statement of system unavailability. Hence, characterization of the reliability of basic components or subsystems depends on the objective function and aim of the analysis.


Archive | 2014

Probability and Life Distributions for Reliability Analysis

Kailash C. Kapur; Michael Pecht


Archive | 2014

Reliability Estimation Techniques

Kailash C. Kapur; Michael Pecht


Archive | 2014

Appendix E: Percentage Points χ2αμ of the Chi‐Square Distribution

Kailash C. Kapur; Michael Pecht


Archive | 2014

Probabilistic Design for Reliability and the Factor of Safety

Kailash C. Kapur; Michael Pecht


Archive | 2014

Appendix D: Values for the Percentage Points tα,ν of the t‐Distribution

Kailash C. Kapur; Michael Pecht


Archive | 2014

Product Requirements and Constraints

Kailash C. Kapur; Michael Pecht


Archive | 2014

Product Screening and Burn‐In Strategies

Kailash C. Kapur; Michael Pecht


Archive | 2014

Appendix F: Percentage Points for the F‐Distribution

Kailash C. Kapur; Michael Pecht


Archive | 2014

Appendix C: Table for Cumulative Standard Normal Distribution

Kailash C. Kapur; Michael Pecht

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