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Reliability assessment of a continuous-state fuel cell stack system with multiple degrading components

Tao Yuan, Xinying Wu, Suk Joo Bae and Xiaoyan Zhu

Reliability Engineering and System Safety, 2019, vol. 189, issue C, 157-164

Abstract: A polymer electrolyte membrane fuel cell (PEMFC) stack is a multi-component system composed of continuously degrading fuel cells. The voltage degradation of the fuel cells causes the degradation of the stack system, which has two system-level degradation measures; the overall stack output voltage and the minimum voltage of individual cells. This paper develops a hierarchical Bayesian modeling and data analysis method to predict the reliability of a PEMFC stack system using the voltage degradation data collected from its fuel cell components. We introduce a two-term exponential model to describe the nonlinear voltage degradation paths of the fuel cell components, then builds a hierarchical Bayesian degradation model to predict the stack system reliability by taking a k-out-of-m:F system into account. Possible alternative modeling approaches are discussed with an in-depth comparison. This paper will contribute to the modeling and data analysis methods for continuous-state systems composed of continuous-state components.

Keywords: Continuous-state systems; Degradation analysis; Failure-time distribution; Gibbs sampling; Hierarchical Bayesian modeling; k-out-of-m:F system (search for similar items in EconPapers)
Date: 2019
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