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Reliability Analysis for Mechanical Components Subject to Degradation Process and Random Shock with Wiener Process

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Hui-bing Hao

    (Southeast University)

  • Chun Su

    (Southeast University)

  • Zhong-zhou Qu

    (Southeast University)

Abstract

For mechanical component, there are usually several different processes which can cause the component to failure. In this paper, the reliability modeling is studied for the component which has two kinds of failure processes, i.e., degradation process and random shocks. The Wiener process is used to describe the degradation process, the cumulative effect due to random shock on the degradation process is considered, and the effect of shock is discussed. The parameters of the model are estimated by the maximum likelihood estimation method. A case study of fatigue crack growth is provided to illustrate the proposed model and method. The reliability assessment results are also compared with the method of normal distribution. The results show that considering the impact of shocks can obviously lower the reliability of the system. Thus, the effect that the shocks act on the degradation may not be neglected.

Suggested Citation

  • Hui-bing Hao & Chun Su & Zhong-zhou Qu, 2013. "Reliability Analysis for Mechanical Components Subject to Degradation Process and Random Shock with Wiener Process," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 531-543, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-37270-4_51
    DOI: 10.1007/978-3-642-37270-4_51
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    Citations

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    Cited by:

    1. Zhang, Zhengxin & Si, Xiaosheng & Hu, Changhua & Lei, Yaguo, 2018. "Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods," European Journal of Operational Research, Elsevier, vol. 271(3), pages 775-796.
    2. Sophie Mercier & Hai Ha Pham, 2016. "A Random Shock Model with Mixed Effect, Including Competing Soft and Sudden Failures, and Dependence," Methodology and Computing in Applied Probability, Springer, vol. 18(2), pages 377-400, June.
    3. Zhang, Jian & Huang, Xiaoyan & Fang, Youtong & Zhou, Jing & Zhang, He & Li, Jing, 2016. "Optimal inspection-based preventive maintenance policy for three-state mechanical components under competing failure modes," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 95-103.

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