참고문헌

1. IoT-based PHM 연구회, "사물인터넷 기반 인더스트리 PHM", 과학기술부, 2015.12.
2. C. Ly, K. Tom, C. S. Byington, R. Patrick, G. J. Vachtsevanos, "Falure diagnosis and failure prognosis for engineering systems: a global perspective", 5th Annual IEEE Congress on Automation Science and Engineering, Bangalore, India, 2009.
3. Jae-Cheon Lee, "PHM technology applications in fluid power for power plants", The 8th International Conference on Fluid Power and Mechatronics, Keynote Speech, Wuhan, China, 2019.
4. G. Vachtsevanos, et. al, Intelligent Failure Diagnostics and Prognostics for Engineering Systems, Wiley, 2006.
5. T. Sutharssan, et. al, "Prognostic and health management for engineering systems: a review of the data-driven approach and algorithms", The Journal of engineering, Vol. 1, No. 1, 2015.
6. M. Modarres, M. Amiri, C. Jackson, Probabilistic Approach to Reliability: Modeling, Accelerated Testing, Prognosis and Reliability Assessment, Kindle Ed., 2017.
7. J. M. Karandikar, N. H. Kim, T. L. Schmitz, "Prediction of remaining useful life for fatigue-damaged structures using Bayesian inference", Engineering Fracture Mechanics, Vol. 96, pp. 588-695, 2012. https://doi.org/10.1016/j.engfracmech.2012.09.013
8. D. Wang, M. Yu, C. B. Low, S. Arogeti, Model-based Health Monitoring of Hybrid System, Springer, 2013.