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Statistical dependency analysis of multiple competing failure causes of fuel cell engines

Author

Listed:
  • Tie Chen
  • Songlin Zheng
  • Jinzhi Feng

Abstract

Given the current strict regulations on fuel emissions, hydrogen fuel cell vehicles have been considered as ideal non-polluting vehicles. As the kernel subsystem of hydrogen fuel cell vehicles, the fuel cell engine, which is a complex system, may fail because of multiple competing failure causes. In fuel cell engine reliability engineering, discriminating and measuring dependency among multiple failure causes is an urgent problem that should be addressed. This study proposes a statistical dependency analysis model under competing risks based on reliability field data of fuel cell engines. The multivariate lognormal distribution is employed to model joint failure distribution. Then, using simulated annealing algorithm to estimate the parameters of the conditional probability likelihood function. Moreover, p -value hypothesis test procedures are developed to determine the significance of the dependence degree among multiple competing failure causes. In this article, the failure mechanisms of fuel cell engine are comprehensively discussed to prove the feasibility and effectiveness of the proposed method. Results can provide technical support for studies on optimal maintenance strategies.

Suggested Citation

  • Tie Chen & Songlin Zheng & Jinzhi Feng, 2017. "Statistical dependency analysis of multiple competing failure causes of fuel cell engines," Journal of Risk and Reliability, , vol. 231(2), pages 83-90, April.
    • Handle: RePEc:sae:risrel:v:231:y:2017:i:2:p:83-90
    DOI: 10.1177/1748006X16686895
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    References listed on IDEAS

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    1. Hwang, Jenn-Jiang, 2013. "Sustainability study of hydrogen pathways for fuel cell vehicle applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 220-229.
    2. Chen, Ying & Yang, Liu & Ye, Cui & Kang, Rui, 2015. "Failure mechanism dependence and reliability evaluation of non-repairable system," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 273-283.
    3. Hao Peng & Qianmei Feng & David Coit, 2010. "Reliability and maintenance modeling for systems subject to multiple dependent competing failure processes," IISE Transactions, Taylor & Francis Journals, vol. 43(1), pages 12-22.
    4. Xie, Wei & Liao, Haitao & Jin, Tongdan, 2014. "Maximizing system availability through joint decision on component redundancy and spares inventory," European Journal of Operational Research, Elsevier, vol. 237(1), pages 164-176.
    5. Kaishev, Vladimir K. & Dimitrova, Dimitrina S. & Haberman, Steven, 2007. "Modelling the joint distribution of competing risks survival times using copula functions," Insurance: Mathematics and Economics, Elsevier, vol. 41(3), pages 339-361, November.
    6. Pan, Zhengqiang & Balakrishnan, Narayanaswamy, 2011. "Reliability modeling of degradation of products with multiple performance characteristics based on gamma processes," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 949-957.
    7. Robert Dixon & Xi Wang & Michael Wang & Ju Wang & Zhihong Zhang, 2011. "Development and demonstration of fuel cell vehicles and supporting infrastructure in China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(7), pages 775-789, October.
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