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Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels

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  • Chang, Miaoxin
  • Huang, Xianzhen
  • Coolen, Frank P.A.
  • Coolen-Maturi, Tahani

Abstract

Degradation-shock failure processes widely exist in practice, and extensive work has been carried out to better describe such processes. In this paper, a new model is developed for reliability analysis of systems subject to dependent degradation-shock failure processes. The proposed model extends the previous work by considering the effects of the degradation levels on both the degradation rates and the hard failure thresholds. Instead of shifting with the shock levels, the degradation rates are supposed to increase with the degradation levels, and the hard failure thresholds decrease when the system deteriorates to certain levels. Then, the general reliability functions for the systems subject to multi-state degradation are provided, after deriving the reliability formulas for the systems with two-state degradation. In addition, the accuracy of the proposed methods is verified by Monte-Carlo simulation. Finally, a numerical example is presented to illustrate the validity of the presented model, and analytical results of the proposed model are compared with previous work. The results indicate that the presented method offers a more realistic system reliability evaluation.

Suggested Citation

  • Chang, Miaoxin & Huang, Xianzhen & Coolen, Frank P.A. & Coolen-Maturi, Tahani, 2021. "Reliability analysis for systems based on degradation rates and hard failure thresholds changing with degradation levels," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:reensy:v:216:y:2021:i:c:s0951832021005160
    DOI: 10.1016/j.ress.2021.108007
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    References listed on IDEAS

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    1. Sanling Song & David W. Coit & Qianmei Feng, 2016. "Reliability analysis of multiple-component series systems subject to hard and soft failures with dependent shock effects," IISE Transactions, Taylor & Francis Journals, vol. 48(8), pages 720-735, August.
    2. Lei Jiang & Qianmei Feng & David W. Coit, 2015. "Modeling zoned shock effects on stochastic degradation in dependent failure processes," IISE Transactions, Taylor & Francis Journals, vol. 47(5), pages 460-470, May.
    3. Caballé, N.C. & Castro, I.T. & Pérez, C.J. & Lanza-Gutiérrez, J.M., 2015. "A condition-based maintenance of a dependent degradation-threshold-shock model in a system with multiple degradation processes," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 98-109.
    4. Yousefi, Nooshin & Coit, David W. & Song, Sanling, 2020. "Reliability analysis of systems considering clusters of dependent degrading components," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    5. Mauricio Sánchez-Silva & Georgia-Ann Klutke, 2016. "Degradation: Data Analysis and Analytical Modeling," Springer Series in Reliability Engineering, in: Reliability and Life-Cycle Analysis of Deteriorating Systems, chapter 0, pages 79-116, Springer.
    6. Koosha Rafiee & Qianmei Feng & David Coit, 2014. "Reliability modeling for dependent competing failure processes with changing degradation rate," IISE Transactions, Taylor & Francis Journals, vol. 46(5), pages 483-496.
    7. Linkan Bian & Nagi Gebraeel, 2014. "Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions," IISE Transactions, Taylor & Francis Journals, vol. 46(5), pages 470-482.
    8. van Noortwijk, J.M. & van der Weide, J.A.M. & Kallen, M.J. & Pandey, M.D., 2007. "Gamma processes and peaks-over-threshold distributions for time-dependent reliability," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1651-1658.
    9. Gao, Hongda & Cui, Lirong & Kong, Dejing, 2018. "Reliability analysis for a Wiener degradation process model under changing failure thresholds," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 1-8.
    10. Linkan Bian & Nagi Gebraeel, 2014. "Stochastic framework for partially degradation systems with continuous component degradation‐rate‐interactions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(4), pages 286-303, June.
    11. Dong, Qinglai & Cui, Lirong, 2019. "A study on stochastic degradation process models under different types of failure Thresholds," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 202-212.
    12. 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.
    13. Fan, Mengfei & Zeng, Zhiguo & Zio, Enrico & Kang, Rui, 2017. "Modeling dependent competing failure processes with degradation-shock dependence," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 422-430.
    14. Gao, Hongda & Cui, Lirong & Qiu, Qingan, 2019. "Reliability modeling for degradation-shock dependence systems with multiple species of shocks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 133-143.
    15. An, Zongwen & Sun, Daoming, 2017. "Reliability modeling for systems subject to multiple dependent competing failure processes with shock loads above a certain level," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 129-138.
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    3. Cao, Shihao & Wang, Zhihua & Liu, Chengrui & Wu, Qiong & Li, Junxing & Ouyang, Xiangmin, 2023. "A novel solution for comprehensive competing failure process considering two-phase degradation and non-Poisson shock," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    4. Wu, Bei & Zhang, Yamei & Zhao, Songzheng, 2023. "Modeling coupled effects of dynamic environments and zoned shocks on systems under dependent failure processes," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    5. Lyu, Hao & Qu, Hongchen & Yang, Zaiyou & Ma, Li & Lu, Bing & Pecht, Michael, 2023. "Reliability analysis of dependent competing failure processes with time-varying δ shock model," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    6. Wu, Bei & Wei, Xiaohua & Zhang, Yamei & Bai, Sijun, 2023. "Modeling dynamic environment effects on dependent failure processes with varying failure thresholds," Reliability Engineering and System Safety, Elsevier, vol. 229(C).

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