How to cite this paper
Komijani, H., Shahin, M., Shahin, M & Jabbarzadeh, A. (2017). Condition-based maintenance considering shock and degradation processes.Decision Science Letters , 6(2), 151-164.
Refrences
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Brown, M., & Proschan, F. (1983). Imperfect repair. Journal of Applied Probability, 851–859. JOUR.
Cox, D. R. (1962). Renewal theory (Vol. 58). BOOK, Methuen.
Cui, L. (2008). Maintenance models and optimization. In Handbook of performability engineering (pp. 789–805). CHAP, Springer.
Do Van, P., Voisin, A., Levrat, E., & Iung, B. (2013). Remaining useful life based maintenance decision making for deteriorating systems with both perfect and imperfect maintenance actions. In Prognostics and Health Management (PHM), 2013 IEEE Conference on (pp. 1–9). CONF, IEEE.
Gaoini, E., Dey, D., & Ruggeri, F. (2009). Bayesian modeling of flash floods using generalized extreme value distribution with prior elicitation. BOOK, University of Connecticut, Department of Statistics.
Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483–1510. JOUR.
Last, M., Sinaiski, A., & Subramania, H. S. (2011). Condition-based Maintenance with Multi-Target Classification Models. New Generation Computing, 29(3), 245–260. JOUR.
Montoro-Cazorla, D., & Pérez-Ocón, R. (2014). A reliability system under different types of shock governed by a Markovian arrival process and maintenance policy K. European Journal of Operational Research, 235(3), 636–642. JOUR.
Peng, Y., Dong, M., & Zuo, M. J. (2010). Current status of machine prognostics in condition-based maintenance: a review. The International Journal of Advanced Manufacturing Technology, 50(1–4), 297–313. JOUR.
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 & System Safety, 142, 463–471. JOUR.
Si, X.-S., Wang, W., Hu, C.-H., & Zhou, D.-H. (2011). Remaining useful life estimation–A review on the statistical data driven approaches. European Journal of Operational Research, 213(1), 1–14. JOUR.
Song, S., Coit, D. W., & Feng, Q. (2014). Reliability for systems of degrading components with distinct component shock sets. Reliability Engineering & System Safety, 132, 115–124. JOUR.
Tian, Z., Jin, T., Wu, B., & Ding, F. (2011). Condition based maintenance optimization for wind power generation systems under continuous monitoring. Renewable Energy, 36(5), 1502–1509. JOUR.
Tian, Z., Lin, D., & Wu, B. (2012). Condition based maintenance optimization considering multiple objectives. Journal of Intelligent Manufacturing, 23(2), 333–340. JOUR.
Wang, W. (2012). A simulation-based multivariate Bayesian control chart for real time condition-based maintenance of complex systems. European Journal of Operational Research, 218(3), 726–734. JOUR.
Wang, W., Carr, M., Xu, W., & Kobbacy, K. (2011). A model for residual life prediction based on Brownian motion with an adaptive drift. Microelectronics Reliability, 51(2), 285–293. JOUR.
Xiang, Y., Cassady, C. R., & Pohl, E. A. (2012). Optimal maintenance policies for systems subject to a Markovian operating environment. Computers & Industrial Engineering, 62(1), 190–197. JOUR.
Yu, M., Tang, Y., Wu, W., & Zhou, J. (2014). Optimal order-replacement policy for a phase-type geometric process model with extreme shocks. Applied Mathematical Modelling, 38(17), 4323–4332. JOUR.
Zhang, Y. L. (2007). A discussion on “A bivariate optimal replacement policy for a repairable system.” European Journal of Operational Research, 179(1), 275–276. JOUR.
Zhu, W., Fouladirad, M., & Bérenguer, C. (2015). Condition-based maintenance policies for a combined wear and shock deterioration model with covariates. Computers & Industrial Engineering, 85, 268–283. JOUR.
Brown, M., & Proschan, F. (1983). Imperfect repair. Journal of Applied Probability, 851–859. JOUR.
Cox, D. R. (1962). Renewal theory (Vol. 58). BOOK, Methuen.
Cui, L. (2008). Maintenance models and optimization. In Handbook of performability engineering (pp. 789–805). CHAP, Springer.
Do Van, P., Voisin, A., Levrat, E., & Iung, B. (2013). Remaining useful life based maintenance decision making for deteriorating systems with both perfect and imperfect maintenance actions. In Prognostics and Health Management (PHM), 2013 IEEE Conference on (pp. 1–9). CONF, IEEE.
Gaoini, E., Dey, D., & Ruggeri, F. (2009). Bayesian modeling of flash floods using generalized extreme value distribution with prior elicitation. BOOK, University of Connecticut, Department of Statistics.
Jardine, A. K. S., Lin, D., & Banjevic, D. (2006). A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical Systems and Signal Processing, 20(7), 1483–1510. JOUR.
Last, M., Sinaiski, A., & Subramania, H. S. (2011). Condition-based Maintenance with Multi-Target Classification Models. New Generation Computing, 29(3), 245–260. JOUR.
Montoro-Cazorla, D., & Pérez-Ocón, R. (2014). A reliability system under different types of shock governed by a Markovian arrival process and maintenance policy K. European Journal of Operational Research, 235(3), 636–642. JOUR.
Peng, Y., Dong, M., & Zuo, M. J. (2010). Current status of machine prognostics in condition-based maintenance: a review. The International Journal of Advanced Manufacturing Technology, 50(1–4), 297–313. JOUR.
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 & System Safety, 142, 463–471. JOUR.
Si, X.-S., Wang, W., Hu, C.-H., & Zhou, D.-H. (2011). Remaining useful life estimation–A review on the statistical data driven approaches. European Journal of Operational Research, 213(1), 1–14. JOUR.
Song, S., Coit, D. W., & Feng, Q. (2014). Reliability for systems of degrading components with distinct component shock sets. Reliability Engineering & System Safety, 132, 115–124. JOUR.
Tian, Z., Jin, T., Wu, B., & Ding, F. (2011). Condition based maintenance optimization for wind power generation systems under continuous monitoring. Renewable Energy, 36(5), 1502–1509. JOUR.
Tian, Z., Lin, D., & Wu, B. (2012). Condition based maintenance optimization considering multiple objectives. Journal of Intelligent Manufacturing, 23(2), 333–340. JOUR.
Wang, W. (2012). A simulation-based multivariate Bayesian control chart for real time condition-based maintenance of complex systems. European Journal of Operational Research, 218(3), 726–734. JOUR.
Wang, W., Carr, M., Xu, W., & Kobbacy, K. (2011). A model for residual life prediction based on Brownian motion with an adaptive drift. Microelectronics Reliability, 51(2), 285–293. JOUR.
Xiang, Y., Cassady, C. R., & Pohl, E. A. (2012). Optimal maintenance policies for systems subject to a Markovian operating environment. Computers & Industrial Engineering, 62(1), 190–197. JOUR.
Yu, M., Tang, Y., Wu, W., & Zhou, J. (2014). Optimal order-replacement policy for a phase-type geometric process model with extreme shocks. Applied Mathematical Modelling, 38(17), 4323–4332. JOUR.
Zhang, Y. L. (2007). A discussion on “A bivariate optimal replacement policy for a repairable system.” European Journal of Operational Research, 179(1), 275–276. JOUR.
Zhu, W., Fouladirad, M., & Bérenguer, C. (2015). Condition-based maintenance policies for a combined wear and shock deterioration model with covariates. Computers & Industrial Engineering, 85, 268–283. JOUR.