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Reliability analysis of multiple-component series systems subject to hard and soft failures with dependent shock effects

Author

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  • Sanling Song
  • David W. Coit
  • Qianmei Feng

Abstract

New reliability models have been developed for systems subject to competing hard and soft failure processes with shocks that have dependent effects. In the new model, hard failure occurs when transmitted system shocks are large enough to cause any component in a series system to fail immediately, soft failure occurs when any component deteriorates to a certain failure threshold, and system shocks affect both failure processes for all components. Our new research extends previous reliability models that had dependent failure processes, where the dependency was only because of the shared number of shock exposures and not the shock effects associated with individual system shocks. Dependency of transmitted shock sizes and shock damages to the specific failure processes for all components has not been sufficiently considered, and yet for some actual examples, this can be important. In practice, the effects of shock damages to the multiple failure processes among components are often dependent. In this article, we combine both probabilistic and physical degradation modeling concepts to develop the new system reliability model. Four different dependent patterns/scenarios of shock effects on multiple failure processes for all components are considered for series systems. This represents a significant extension from previous research because it is more realistic yet also more difficult for reliability modeling. The model is demonstrated by severalexamples.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:uiiexx:v:48:y:2016:i:8:p:720-735
    DOI: 10.1080/0740817X.2016.1140922
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    Cited by:

    1. 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).
    2. Ahmed Ragab & Soumaya Yacout & Mohamed-Salah Ouali & Hany Osman, 2019. "Prognostics of multiple failure modes in rotating machinery using a pattern-based classifier and cumulative incidence functions," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 255-274, January.
    3. Che, Haiyang & Zeng, Shengkui & Guo, Jianbin & Wang, Yao, 2018. "Reliability modeling for dependent competing failure processes with mutually dependent degradation process and shock process," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 168-178.
    4. Wang, Xiaolin & Liu, Bin & Zhao, Xiujie, 2021. "A performance-based warranty for products subject to competing hard and soft failures," International Journal of Production Economics, Elsevier, vol. 233(C).
    5. Duan, Chaoqun & Gong, Ting & Yan, Liangwen & Li, Xinmin, 2024. "Bi-level corrected residual life-based maintenance for deteriorating systems under competing risks," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    6. Sun, Fuqiang & Li, Hao & Cheng, Yuanyuan & Liao, Haitao, 2021. "Reliability analysis for a system experiencing dependent degradation processes and random shocks based on a nonlinear Wiener process model," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Yousefi, Nooshin & Coit, David W. & Song, Sanling & Feng, Qianmei, 2019. "Optimization of on-condition thresholds for a system of degrading components with competing dependent failure processes," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    8. Dong, Wenjie & Liu, Sifeng & Bae, Suk Joo & Cao, Yingsai, 2021. "Reliability modelling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    9. Ye, Zhenggeng & Cai, Zhiqiang & Zhou, Fuli & Zhao, Jiangbin & Zhang, Pan, 2019. "Reliability analysis for series manufacturing system with imperfect inspection considering the interaction between quality and degradation," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 345-356.
    10. Zhang, Nan & Fouladirad, Mitra & Barros, Anne & Zhang, Jun, 2020. "Condition-based maintenance for a K-out-of-N deteriorating system under periodic inspection with failure dependence," European Journal of Operational Research, Elsevier, vol. 287(1), pages 159-167.
    11. 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).
    12. Yang, Li & Zhao, Yu & Peng, Rui & Ma, Xiaobing, 2018. "Hybrid preventive maintenance of competing failures under random environment," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 130-140.
    13. Jingyi Liu & Yugang Zhang & Bifeng Song, 2019. "Reliability and maintenance modeling for competing failures with intermission considered," Journal of Risk and Reliability, , vol. 233(5), pages 898-907, October.
    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. Wang, Yukun & Li, Xiaopeng & Chen, Junyan & Liu, Yiliu, 2022. "A condition-based maintenance policy for multi-component systems subject to stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

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