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

Title
Reliability assessment of a continuous-state fuel cell stack system with multiple degrading components
Author
배석주
Keywords
Continuous-state systems; Degradation analysis; Failure-time distribution; Gibbs sampling; Hierarchical Bayesian modeling; k-out-of-m:Fsystem
Issue Date
2019-09
Publisher
ELSEVIER SCI LTD
Citation
RELIABILITY ENGINEERING & SYSTEM SAFETY, v. 189, Page. 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.
URI
https://www.sciencedirect.com/science/article/pii/S0951832018311992?via%3Dihubhttps://repository.hanyang.ac.kr/handle/20.500.11754/151035
ISSN
0951-8320; 1879-0836
DOI
10.1016/j.ress.2019.04.021
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > INDUSTRIAL ENGINEERING(산업공학과) > Articles
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