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Reliability of degrading complex systems with two dependent components per element

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  • Saberzadeh, Zahra
  • Razmkhah, Mostafa

Abstract

The reliability of complex systems consisting of n independent elements each having two dependent components is investigated based on degradation data. A copula-based model is used to describe the dependence structure of the components. Considering gamma, Wiener and inverse Gaussian processes for degradation of each component, the reliability of a complex system is derived for some various copula functions. Also, reliability bounds are obtained by assuming that the components are positively associated for special cases of series and parallel systems. When the model parameters are unknown, a two-step method is proposed to derive the maximum likelihood estimators. A simulation study is conducted to evaluate the performance of the estimators. Also, the sensitivity of the system reliability is analyzed using simulation. Finally, the results of the paper are illustrated using two real examples.

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  • Saberzadeh, Zahra & Razmkhah, Mostafa, 2022. "Reliability of degrading complex systems with two dependent components per element," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
  • Handle: RePEc:eee:reensy:v:222:y:2022:i:c:s0951832022000734
    DOI: 10.1016/j.ress.2022.108398
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    1. Zhou, Shirong & Tang, Yincai & Xu, Ancha, 2021. "A generalized Wiener process with dependent degradation rate and volatility and time-varying mean-to-variance ratio," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Yu, Wennian & Shao, Yimin & Xu, Jin & Mechefske, Chris, 2022. "An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Lee, Dongjin & Pan, Rong, 2018. "A nonparametric Bayesian network approach to assessing system reliability at early design stages," Reliability Engineering and System Safety, Elsevier, vol. 171(C), pages 57-66.
    4. Wang, Xiaofei & Wang, Bing Xing & Hong, Yili & Jiang, Pei Hua, 2021. "Degradation data analysis based on gamma process with random effects," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1200-1208.
    5. Nezakati, Ensiyeh & Razmkhah, Mostafa, 2020. "Reliability analysis of a load sharing k-out-of-n:F degradation system with dependent competing failures," Reliability Engineering and System Safety, Elsevier, vol. 203(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. Ensiyeh Nezakati & Mostafa Razmkhah & Firoozeh Haghighi, 2019. "Reliability analysis of a k-out-of-n:F system under a linear degradation model with calibrations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(3), pages 537-552, June.
    8. 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.
    9. Joe, Harry, 2005. "Asymptotic efficiency of the two-stage estimation method for copula-based models," Journal of Multivariate Analysis, Elsevier, vol. 94(2), pages 401-419, June.
    10. Fengjun Duan & Guanjun Wang, 2019. "Optimal design for constant-stress accelerated degradation test based on gamma process," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(9), pages 2229-2253, May.
    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. Li Sun & Fangchao Zhao & Narayanaswamy Balakrishnan & Honggen Zhou & Xiaohui Gu, 2021. "A nonlinear Wiener degradation model integrating degradation data under accelerated stresses and real operating environment," Journal of Risk and Reliability, , vol. 235(3), pages 356-373, June.
    13. Lochana K. Palayangoda & Hon Keung Tony Ng & Ronald W. Butler, 2020. "Improved techniques for parametric and nonparametric evaluations of the first‐passage time for degradation processes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 36(4), pages 730-753, July.
    14. Zhibing Xu & Yili Hong & Ran Jin, 2016. "Nonlinear general path models for degradation data with dynamic covariates," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 32(2), pages 153-167, March.
    15. 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.
    16. Silvia Rodríguez-Narciso & J. Andrés Christen, 2016. "Optimal sequential Bayesian analysis for degradation tests," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 22(3), pages 405-428, July.
    17. Fang, Guanqi & Pan, Rong & Hong, Yili, 2020. "Copula-based reliability analysis of degrading systems with dependent failures," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
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