Proportional hazard modeling for hierarchical systems with multi-level information aggregation

Mingyang Li, Qingpei Hu and Jian Liu

IISE Transactions, 2014, vol. 46, issue 2, 149-163

Abstract: Reliability modeling of hierarchical systems is crucial for their health management in many mission-critical industries. Conventional statistical modeling methodologies are constrained by the limited availability of reliability test data, especially when the system-level reliability tests of such systems are expensive and/or time-consuming. This article presents a semi-parametric approach to modeling system-level reliability by systematically and explicitly aggregating lower-level information of system elements; i.e., components and/or subsystems. An innovative Bayesian inference framework is proposed to implement information aggregation based on the known multi-level structure of hierarchical systems and interaction relationships among their composing elements. Numerical case study results demonstrate the effectiveness of the proposed method.

Date: 2014
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DOI: 10.1080/0740817X.2013.772692

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