References
Alaswad, S., & Xiang, Y. (2017). A review on conditionbased maintenance optimization models for stochastically deteriorating system. Reliability Engineering and System Safety, 157, 54–63. https://doi.org/10.1016/j.ress.2016.08.009 Bousdekis, A., Magoutas, B., Apostolou, D., & Mentzas, G.
(2015). A proactive decision making framework for condition-based maintenance. Industrial Management and Data Systems, 115(7), 1225–1250. https://doi.org/10.1108/IMDS-03-2015-0071 C. H. Cook, C. E. Spaeth, D. T. Hunter, & R. J. Hill. (1982, April). Damage Tolerant Design of Turbine Engine Disks. Turbo Expo: Power for Land, Sea, and Air. https://doi.org/https://doi.org/10.1115/82-GT-311 Faddoul, R., Raphael, W., Soubra, A.-H., & Chateauneuf, A.
(2013). Incorporating Bayesian Networks in Markov Decision Processes. Journal of Infrastructure Systems, 19(4), 415–424. https://doi.org/10.1061/(asce)is.1943555x.0000134 Hlaing, N., Morato, P. G., Nielsen, J. S., Amirafshari, P., Kolios, A., & Rigo, P. (2022). Inspection and maintenance planning for offshore wind structural components: integrating fatigue failure criteria with Bayesian networks and Markov decision processes. Structure and Infrastructure Engineering, 18(7), 9831001. https://doi.org/10.1080/15732479.2022.2037667
Lee, B. W., Suh, J., Lee, H., & Kim, T. gu. (2011).
Investigations on fretting fatigue in aircraft engine compressor blade. Engineering Failure Analysis, 18(7), 1900–1908. https://doi.org/10.1016/j.engfailanal.2011.07.021 Lee, D., & Achenbach, J. D. (2016). Analysis of the Reliability of a Jet Engine Compressor Rotor Blade Containing a Fatigue Crack. Journal of Applied Mechanics, Transactions ASME, 83(4). https://doi.org/10.1115/1.4032376 Lee, D., & Kwon, K. (2023). Dynamic Bayesian network model for comprehensive risk analysis of fatiguecritical structural details. Reliability Engineering and System Safety, 229. https://doi.org/10.1016/j.ress.2022.108834 Memarzadeh, M., Asce, A. M., Pozzi, M., & Kolter, J. Z.
(2014). Optimal Planning and Learning in Uncertain Environments for the Management of Wind Farms. https://doi.org/10.1061/(ASCE)CP Morato, P. G., Nielsen, J. S., Mai, A. Q., & Rigo, P. (2019, May). POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring. ICASP13. https://doi.org/https://doi.org/10.22725/ICASP13.067 Morato, P. G., Papakonstantinou, K. G., Andriotis, C. P., Nielsen, J. S., & Rigo, P. (2020). Optimal Inspection and Maintenance Planning for Deteriorating Structural Components through Dynamic Bayesian Networks and Markov Decision Processes. https://doi.org/10.1016/j.strusafe.2021.102140 Papakonstantinou, K. G., & Shinozuka, M. (2014a). Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part II: POMDP implementation. Reliability Engineering and System Safety, 130, 214–224. https://doi.org/10.1016/j.ress.2014.04.006 Papakonstantinou, K. G., & Shinozuka, M. (2014b). Planning structural inspection and maintenance policies via dynamic programming and Markov processes. Part I: Theory. Reliability Engineering and System Safety, 130, 202–213. https://doi.org/10.1016/j.ress.2014.04.005
