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A Bayesian Method for Planning Reliability Demonstration Tests for Multi-Component Systems

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2014, Master of Science (MS), Ohio University, Industrial and Systems Engineering (Engineering and Technology).
The objective of this research is to develop a methodology to plan a zero-failure reliability demonstration test (RDT) for multi-component systems. A fully Bayesian hierarchical approach is applied to model multi-level systems, with independent components. The system failure time distribution is expressed according to the component failure time distributions based on the system structure determined by the reliability block diagram. Component-level prior information is incorporated into a joint prior distribution. Markov chain Monte Carlo methods, such as Gibbs sampling, are developed to find the minimum sample size for planning the system RDT.
Tao Yuan (Advisor)
Diana Schwerha (Committee Member)
Gary Weckman (Committee Member)
William Young (Committee Member)
66 p.

Recommended Citations

Citations

  • Kothawade, M. (2014). A Bayesian Method for Planning Reliability Demonstration Tests for Multi-Component Systems [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416154538

    APA Style (7th edition)

  • Kothawade, Manish. A Bayesian Method for Planning Reliability Demonstration Tests for Multi-Component Systems . 2014. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416154538.

    MLA Style (8th edition)

  • Kothawade, Manish. "A Bayesian Method for Planning Reliability Demonstration Tests for Multi-Component Systems ." Master's thesis, Ohio University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1416154538

    Chicago Manual of Style (17th edition)