Das, S., & Nanda, A. K. (2013). Some stochastic orders of dynamic additive mean residual life model. Journal of statistical planning and inference, 143(2), 400-407.
 Deloux, E., Castanier, B., Yeung, T., & Bérenguer, C. (2006, November). A Predictive Maintenance Policy Combining Statistical Process Control and Condition-Based Approaches. 31 ESReDA seminar on ageing (pp. 210-220).
 Dieulle, L., Bérenguer, C., Grall, A., & Roussignol, M. (2003). Sequential condition-based maintenance scheduling for a deteriorating system. European journal of operational research, 150(2), 451-461.
 Eryilmaz, S. (2017). Computing optimal replacement time and mean residual life in reliability shock models. Computers & industrial engineering, 103, 40-45.
 Huang, J., & Zuo, M. J. (2004). Dominant multi-state systems. IEEE transactions on reliability, 53(3), 362-368.
 Huang, W., Zhou, J., & Ning, J. (2016). A Condition Based Maintenance for System Subject to Competing Failure due to Degradation and Shock. International journal of applied mathematics, 46(2).
 Kurniati, N., Yeh, R. H., & Lin, J. J. (2015). Quality inspection and maintenance: the framework of interaction. Procedia manufacturing, 4, 244-251.
 Li, W., & Pham, H. (2005). Reliability modeling of multi-state degraded systems with multi-competing failures and random shocks. IEEE transactions on reliability, 54(2), 297-303.
 Yingkui, G., & Jing, L. (2012). Multi-state system reliability: a new and systematic review. Procedia engineering, 29, 531-536.
 Zhao, M., Jiang, H., & Liu, X. (2013). A note on estimation of the mean residual life function with left-truncated and right-censored data. Statistics & probability letters, 83(10), 2332-2336.
 Madsen, H. O. (1985, May). Random fatigue crack growth and inspection. Proceeding of 4th international conference on structural safety and reliability (ICOSSAR’85). Kobe, Japan.
 Wu, S., & Wang, W. (2011). Optimal inspection policy for three-state systems monitored by control charts. Applied mathematics and computation, 217(23), 9810-9819.