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Abstract Details
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Activity Number:
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613
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #300990 |
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Title:
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Bayesian Methods for Estimating the Reliability of Complex Systems Using Heterogeneous Multilevel Information
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Author(s):
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Jiqiang Guo*+ and Alyson Wilson
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Companies:
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Iowa State University and Iowa State University
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Address:
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Department of Statistics, Ames, IA, 50011,
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Keywords:
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Degradation ;
Hierarchical model ;
Lifetime ;
Multi-component system ;
System Reliability
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Abstract:
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Bayesian Methods for Estimating the Reliability of Complex Systems Using Heterogeneous Multilevel Information
We propose a Bayesian approach for assessing the reliability of multi- component systems. Our models allow us to evaluate system, subsystem, and component reliability using the available multilevel information. Data are collected over time, and include pass/fail, lifetime, censored, and degradation data. We illustrate the methodology through an example and discuss how to extend the approach to more complex systems.
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