References
- An, Z., & Sun, D. (2017). Reliability model for systems subject to multiple dependent competing failure processes with shock loads above a certain level. Reliability Engineering and System Safety, 157, 129–138. https://doi.org/10.1016/j.ress.2016.08.025
- Bozbulut, A., & Eryilmaz, S. (2020). Generalized extreme shock models and their applications. Communications in Statistics: Simulation and Computation, 49(1), 110–120. https://doi.org/10.1080/03610918.2018.1476699
- Che, H., Zeng, S., Guo, J., & Wang, Y. (2018). Reliability modeling for dependent competing failure processes with mutually dependent degradation process and shock process. Reliability Engineering and System Safety, 180, 168–178. https://doi.org/10.1016/j.ress.2018.07.018
- Cui, L., Chen, Z., & Gao, H. (2018). Reliability for systems with self-healing effect under Shock Models. Quality Technology & Quantitative Management, 15(5), 551–567. https://doi.org/10.1080/16843703.2016.1264146
- Dong, W., Liu, S., Bae, S., & Cao, Y. (2021). Reliability modeling for multi-component systems subject to stochastic deterioration and generalized cumulative shock damages. Reliability Engineering and System Safety, 205, 107260. https://doi.org/10.1016/j.ress.2020.107260
- Eryilmaz, S. (2016). Computing optimal replacement time and mean residual life. Computers & Industrial Engineering, 103, 40–45. https://doi.org/10.1016/j.cie.2016.11.017
- Eryilmaz, S., & Kan, C. (2019). Reliability and optimal replacement policy for an extreme shock model with a change point. Reliability Engineering and System Safety, 190, 106513. https://doi.org/10.1016/j.ress.2019.106513
- Eryilmaz, S., & Tekin, M. (2019). Reliability evaluation of a system under a mixed shock model. Journal of Computational and Applied Mathematics, 352, 255–261. https://doi.org/10.1016/j.cam.2018.12.011
- Fan, M., Zeng, Z., Zio, E., & Kang, R. (2017). Modeling dependent competing failure processes with degradation-shock dependence. Reliability Engineering and System Safety, 165, 422–430. https://doi.org/10.1016/j.ress.2017.05.004
- Hao, P., Feng, Q., & Coit, D. W. (2011). Reliability and maintenance modeling for systems subject to multiple dependent competing failure processes. IIE Transactions (Institute of Industrial Engineers), 43(1), 12–22. https://doi.org/10.1080/0740817X.2010.491502
- Hao, S., & Yang, J. (2018). Reliability analysis for dependent competing failure processes with changing degradation rate and hard failure threshold levels. Computers & Industrial Engineering, 118, 340–351. https://doi.org/10.1016/j.cie.2018.03.002
- Hao, S., Yang, J., Ma, X., & Zhao, Y. (2017). Reliability model for mutually dependent competing failure processes due to degradation and random shocks. Applied Mathematical Modelling, 51, 232–249. https://doi.org/10.1016/j.apm.2017.06.014
- He, Q. M. (2014). Fundamentals of matrix-analytic methods. Springer New York.
- Hsu, W. T.(2008). Recent progress in silicon MEMS oscillators. Paper presented at the meeting of Proceedings of the 40th Annual Precise Time and Time Interval (PTTI).
- Jiang, L., Feng, Q., & Coit, D. W. (2012). Reliability and maintenance modeling for dependent competing failure processes with shifting failure thresholds. IEEE Transactions on Reliability, 61(4), 932–948. https://doi.org/10.1109/TR.2012.2221016
- Jiang, L., Feng, Q., & Coit, D. W. (2015). Modeling zoned shock effects on stochastic degradation independent failure processes. IIE Transactions (Institute of Industrial Engineers), 47(5), 460–470. https://doi.org/10.1080/0740817X.2014.95515
- Kang, F., & Cui, L. (2022). Reliability analysis for systems with self-healing mechanisms under two different types of cumulative shocks. Quality Technology & Quantitative Management, 19(4), 454–472. https://doi.org/10.1080/16843703.2021.2021616
- Li, C., Hao, H., Xu, F., & Zhao, G. (2020). Reliability evaluation of multiple DCFP systems subject to shifting threshold. Shock and Vibration. https://doi.org/10.1155/2020/9206239
- Meango, T., & Ouali, M. (2020). Failure interaction model based on extreme shock and Markov processes. Reliability Engineering and System Safety, 197, 106827. https://doi.org/10.1016/j.ress.2020.106827
- Ozkut, M., & Eryilmaz, S. (2018). Reliability analysis under Marshall-Olkin run shock model. Journal of Computational and Applied Mathematics, 349, 52–59. https://doi.org/10.1016/j.cam.2018.09.022
- Poursaeed, M. (2019). A run shock-erosion model. Communications in Statistics - Theory and Methods, 50(5), 1228–1239. https://doi.org/10.1080/03610926.2019.1649425
- Rafiee, K., Feng, Q., & Coit, D. W. (2014). Reliability modeling for multiple dependent competing failure processes with changing degradation rate. IIE Transactions (Institute of Industrial Engineers), 46(5), 483–496. https://doi.org/10.1080/0740817X.2013.812270
- Rafiee, K., Feng, Q., & Coit, D. W. (2017). Reliability assessment of competing risks with generalized mixed shock models. Reliability Engineering and System Safety, 159, 1–11. https://doi.org/10.1016/j.ress.2016.10.006
- Ranjkesh, S., Hamadani, A., & Mahmoodi, S. (2019). A new cumulative chock model with damage and inter-arrival time dependency. Reliability Engineering and System Safety, 192, 106047. https://doi.org/10.1016/j.ress.2018.01.006
- Song, S., Coit, D. W., & Feng, Q. (2014). Reliability for systems of degrading components with distinct component shock sets. Reliability Engineering and System Safety, 132, 115–124. https://doi.org/10.1016/j.ress.2014.06.020
- Song, S., Coit, D. W., & Feng, Q. (2016). Reliability analysis of multiple-component series systems subject to hard and soft failures with dependent shock effects. IIE Transactions (Institute of Industrial Engineers), 48(8), 720–735. https://doi.org/10.1080/0740817X.2016.1140922
- Sun, F., Li, H., Cheng, Y., & Liao, H. (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, 215, 107906. https://doi.org/10.1016/j.ress.2021.107906
- Tang, J., Chen, C. S., & Huang, L. (2019). Reliability assessment models for dependent competing failure processes considering correlations between random shocks and degradations. Quality and Reliability Engineering International, 35(1), 179–191. https://doi.org/10.1002/qre.2390
- Tanner, D. M., & Dugger, M. T. (2003). Wear mechanisms in a reliability methodology. Proceedings of Spie the International Society for Optical Engineering, 4980, 22–40. https://doi.org/10.1117/12.476345
- Tanner, D.M., Walraven, J.A., Helgesen, K., Irwin, L.W., Brown, F., & Smith, N.F., et al. (2000). MEMS reliability in shock environments. Annual Proceeding - Reliability Physics, 129–138. https://doi.org/10.1109/relphy.2000.843903
- Wang, Y., & Pham, H. (2012). Modeling the dependent competing risks with multiple degradation processes and random shock using time-varying copulas. IEEE Transactions on Reliability, 61(1), 13–22. https://doi.org/10.1109/TR.2011.2170253
- Zeng, Z., Kang, R., & Chen, Y. (2016). Using Pof models to predict system reliability considering failure collaboration. Chinese Journal of Aeronautics, 29(5), 1294–1301. https://doi.org/10.1016/j.cja.2016.08.014
- Zhao, X., Wang, S., Wang, X., & Cai, K. (2018). A multi-state shock model with mutative failure patterns. Reliability Engineering and System Safety, 178, 1–11. https://doi.org/10.1016/j.ress.2018.05.014