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Degradation analysis based on an extended inverse Gaussian process model with skew-normal random effects and measurement errors

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Cited by:

  1. Yang, Yiming & Peng, Jianxin & Cai, C.S. & Zhou, Yadong & Wang, Lei & Zhang, Jianren, 2022. "Time-dependent reliability assessment of aging structures considering stochastic resistance degradation process," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
  2. Kong, Xuefeng & Yang, Jun & Hao, Songhua, 2021. "Reliability modeling-based tolerance design and process parameter analysis considering performance degradation," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
  3. Song, Kai & Cui, Lirong, 2022. "A common random effect induced bivariate gamma degradation process with application to remaining useful life prediction," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
  4. Wang, Xiaofei & Wang, Bing Xing & Jiang, Pei Hua & Hong, Yili, 2020. "Accurate reliability inference based on Wiener process with random effects for degradation data," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
  5. 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).
  6. Wenjie Dong & Yingsai Cao & Jingru Zhang, 2025. "Reliability modeling and optimal maintenance strategies for stochastically deteriorating systems with random degradation latency," Annals of Operations Research, Springer, vol. 345(1), pages 105-124, February.
  7. Liao, Guobo & Yin, Hongpeng & Chen, Min & Lin, Zheng, 2021. "Remaining useful life prediction for multi-phase deteriorating process based on Wiener process," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
  8. Liu, Xingheng & Matias, José & Jäschke, Johannes & Vatn, Jørn, 2022. "Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
  9. Ye, Xuerong & Hu, Yifan & Zheng, Bokai & Chen, Cen & Zhai, Guofu, 2022. "A new class of multi-stress acceleration models with interaction effects and its extension to accelerated degradation modelling," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
  10. Chen, Chuanhai & Li, Bowen & Guo, Jinyan & Liu, Zhifeng & Qi, Baobao & Hua, Chunlei, 2022. "Bearing life prediction method based on the improved FIDES reliability model," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
  11. Xu, Jun & Liang, Zhenglin & Li, Yan-Fu & Wang, Kaibo, 2021. "Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
  12. Santos, Cristiano C. & Loschi, Rosangela H., 2020. "Semi-parametric Bayesian models for heterogeneous degradation data: An application to laser data," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
  13. Sun, Xuxue & Cai, Wenjun & Li, Mingyang, 2021. "A hierarchical modeling approach for degradation data with mixed-type covariates and latent heterogeneity," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
  14. Nicola Esposito & Agostino Mele & Bruno Castanier & Massimiliano Giorgio, 2023. "A new gamma degradation process with random effect and state-dependent measurement error," Journal of Risk and Reliability, , vol. 237(5), pages 868-885, October.
  15. Fang, Guanqi & Pan, Rong & Wang, Yukun, 2022. "Inverse Gaussian processes with correlated random effects for multivariate degradation modeling," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1177-1193.
  16. Li Nianhuan & Gu Dongwei & Wang Zhiqiong & Wang Juncheng & Li Shuailin & Chen Bingkun & Chen Pengfei, 2025. "Multiple stresses optimization design of constant-stress accelerated degradation test based on Wiener process," Journal of Risk and Reliability, , vol. 239(3), pages 496-514, June.
  17. Duan, Fengjun & Wang, Guanjun, 2022. "Bayesian analysis for the transformed exponential dispersion process with random effects," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
  18. Zhang, Sen-Ju & Kang, Rui & Lin, Yan-Hui, 2021. "Remaining useful life prediction for degradation with recovery phenomenon based on uncertain process," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
  19. Asgari, Ali & Si, Wujun & Wei, Wei & Krishnan, Krishna & Liu, Kunpeng, 2025. "Multivariate degradation modeling using generalized cauchy process and application in life prediction of dye-sensitized solar cells," Reliability Engineering and System Safety, Elsevier, vol. 255(C).
  20. Hachem, Hassan & Vu, Hai Canh & Fouladirad, Mitra, 2024. "Different methods for RUL prediction considering sensor degradation," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
  21. Sheu, Shey-Huei & Liu, Tzu-Hsin & Sheu, Wei-Teng & Zhang, Zhe-George & Ke, Jau-Chuan, 2021. "Optimal replacement policy with replacement last under cumulative damage models," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
  22. Liu, Zhe & Zhang, Qingyuan, 2025. "Remaining useful life estimation considering threshold epistemic uncertainty with uncertain differential equation," Applied Mathematics and Computation, Elsevier, vol. 495(C).
  23. Shengjin Tang & Fengfei Wang & Xiaoyan Sun & Chuanqiang Yu & Xiaosheng Si, 2025. "Approximate parameter estimation and mis-specification analysis of degradation model with asymmetric random effects," Journal of Risk and Reliability, , vol. 239(2), pages 416-439, April.
  24. Zheng, Bokai & Chen, Cen & Lin, Yigang & Hu, Yifan & Ye, Xuerong & Zhai, Guofu & Zio, Enrico, 2022. "Optimal design of step-stress accelerated degradation test oriented by nonlinear and distributed degradation process," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
  25. Liu, Di & Wang, Shaoping & Cui, Xiaoyu, 2022. "An artificial neural network supported Wiener process based reliability estimation method considering individual difference and measurement error," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
  26. Zhuang, Liangliang & Xu, Ancha & Wang, Yijun & Tang, Yincai, 2024. "Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process," European Journal of Operational Research, Elsevier, vol. 319(3), pages 877-890.
  27. Portela, Adriane Caroline Teixeira & Morita, Lia Hanna Martins & Tomazella, Vera & Toledo, Maria Luíza & Ferreira, Paulo Henrique & Louzada, Francisco, 2025. "Non-constant imperfect maintenance effects in Inverse Gaussian degradation models for multiple repairable systems," Reliability Engineering and System Safety, Elsevier, vol. 264(PB).
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