Reliability for systems with self-healing effect under shock models

References

• Cha, J. H., Sanguesa, C., & Castro, I. T. (2016). Maintenance policy for a system with stochastically dependent failure modes with shock-accumulation effect. IEEE Transactions on Reliability, 65, 1284–1297.10.1109/TR.2016.2570558
   Google Scholar
• Castro, I. T., Caballé, N. C., & Pérez, C. J. (2015). A condition-based maintenance for a system subject to multiple degradation processes and external shocks. International Journal of Systems Science, 46, 1692–1704.10.1080/00207721.2013.828796
   Web of Science ®Google Scholar
• Cui, L. R. (2008). Maintenance models and optimization. Chapter 48. In Misra K. B. (Eds.), Handbook of performability engineering (pp. 789–805). London: Springer.
   Google Scholar
• Cui, L. R., Huang, J. B., & Li, Y. (2016). Degradation models with Wiener diffusion processes under calibrations. IEEE Transactions on Reliability,  65, 613–623.
   Google Scholar
• Cui, L. R., & Li, H. J. (2006). Opportunistic maintenance for multi-component shock model. Mathematical Method of Operations Research, 63, 493–511.
   Google Scholar
• Dassios, A., & Zhao, H. B. (2013). Exact simulation of Hawkes process with exponentially decaying intensity. Electronic Communications in Probability, 18(62), 1–13.
   Google Scholar
• Gut, A. (2001). Mixed shock models. Bernoulli, 7, 541–555.10.2307/3318501
   Web of Science ®Google Scholar
• Hawkes, A. G. (1971a). Point spectra of some mutually exciting point processes. Journal of Royal. Statistical Society: B, 33, 438–443.
   Google Scholar
• Hawkes, A. G. (1971b). Spectra of some self-exciting and mutually exciting point processes. Biometrika, 58, 83–90.10.1093/biomet/58.1.83
   Web of Science ®Google Scholar
• Kang, W., Lee, C., Lim, H., & Kang, S. (2015). A 3 dimensional built-in self-repair scheme for yield improvement of 3 dimensional memories. IEEE Transactions on Reliability, 64, 586–595.10.1109/TR.2015.2410274
   Google Scholar
• Kong, D., & Cui, L. (2016). Bayesian inference of multi-stage reliability for degradation systems with calibrations. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 230, 18–33.
   Google Scholar
• Lin, Y. H., Li, Y. F., & Zio, E. (2015). Integrating random shocks into multi-state physics models of degradation processes for component reliability assessment. IEEE Transactions on Reliability, 64, 154–166.10.1109/TR.2014.2354874
   Web of Science ®Google Scholar
• Mallor, F., & Omey, E. (2001). Shocks, runs and random sums. Journal of Applied Probability, 38, 438–448.10.1017/S0021900200019951
   Web of Science ®Google Scholar
• Møller, J., & Rasmussen, J. G. (2005). Perfect simulation of Hawkes processes. Advances in Applied Probability, 37, 629–646.10.1017/S0001867800000392
   Web of Science ®Google Scholar
• Montoro-Cazorla, D., & Pérez-Ocón, R. (2014). A redundant n-system under shocks and repairs following Markovian arrival processes. Reliability Engineering and System Safety, 130, 69–75.10.1016/j.ress.2014.05.002
   Google Scholar
• Montoro-Cazorla, D., & Pérez-Ocón, R. (2016). A warmstandby system under shocks and repair governed by MAPs. Reliability Engineering and System Safety, 152, 331–338.10.1016/j.ress.2016.03.023
   Web of Science ®Google Scholar
• Ogata, Y. (1981). On Lewis’ simulation method for point-processes. IEEE Transactions on Information Theory, 27, 23–31.10.1109/TIT.1981.1056305
   Web of Science ®Google Scholar
• Rafiee, K., Feng, Q., & Coit, D. W. (2015). Condition-based maintenance for repairable deteriorating systems subject to a generalized mixed shock model. IEEE Transactions on Reliability, 64, 1164–1174.10.1109/TR.2015.2461217
   Web of Science ®Google Scholar
• Shafiee, M., Finkelstein, M., & Bérenguer, C. (2015). An opportunistic condition-based maintenance policy for offshore wind turbine blades subjected to degradation and environmental shocks. Reliability Engineering and System Safety, 142, 463–471.10.1016/j.ress.2015.05.001
   Web of Science ®Google Scholar
• Sheu, S. H., Liu, T. H., Zhang, Z. G., & Chien, Y. C. (2015). Extended optimal replacement policy for a two-unit system with shock damage interaction. IEEE Transactions on Reliability, 64, 998–1014.10.1109/TR.2015.2427231
   Web of Science ®Google Scholar
• Shervin, A., Abdollah, A., & Hamid, S. (2015). Improving reliability in multistage processes with autocorrelated observations. Quality Technology and Quantitative Management, 12, 143–157.
   Google Scholar
• Wang, H. K., Li, Y. F., & Liu, Y. (2015). Remaining useful life estimation under degradation and shock damage. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229, 200–208.
   Google Scholar
• Ye, Z. S., Chen, L. P., Tang, L. C., & Xie, M. (2014). Accelerated degradation test planning using the inverse Gaussian process. IEEE Transactions on Reliability, 63, 750–763.10.1109/TR.2014.2315773
   Web of Science ®Google Scholar
• Yeh, R. H., Kurniati, N., & Chang, W. L. (2015). Optimal single replacement policy for products with free-repair warranty under a finite planning horizon. Quality Technology and Quantitative Management, 12, 159–167.10.1080/16843703.2015.11673374
   Web of Science ®Google Scholar
• Zarezadeh, S., Ashrafi, S., & Asadi, M. (2016). A shock model based approach to network reliability. IEEE Transactions on Reliability, 65, 992–1000.
   Google Scholar
• Zhu, W., Fouladirad, M., & Berenguer, C. (2015). Bi-criteria maintenance policies for a system subject to competing wear and delta-shock failures. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 229, 485–500.
   Google Scholar