Machine Learning Based Failure Prognostics of Aluminum Electrolytic Capacitors |
Park, Jeong-Hyun
(Department of Mechanical System Engineering, Kumoh National institute of Technology)
Seok, Jong-Hoon (Department of Mechanical System Engineering, Kumoh National institute of Technology) Cheon, Kang-Min (Department of Mechanical System Engineering, Kumoh National institute of Technology) Hur, Jang-Wook (Department of Mechanical System Engineering, Kumoh National institute of Technology) |
1 | Choi, J. H., "Introduction of Failure Prognosis and PHM," Journal of The Korean Society of Mechanical Engineers, Vol. 53, No. 7, pp. 24-34, 2013. |
2 | Jo, H. S., Park, S. C. and Jang, J. S., "Swelling-based Failure Prediction of Electrolytic Capacitors", Journal of Applied Reliability, Vol. 19, No. 2, pp. 149-159, 2019. DOI |
3 | Chen, Y. R., Liao, H. and Chen, J. F., "Life Prediction of Aluminum Electrolytic Capacitors under Normal Operation", 2019 IEEE 4th International Future Energy Electronics Conference (IFEEC), pp. 25-28, 2019. |
4 | Rastayesh, S., Bahrebar, S., Blaabjerg, F., Zhou, D., Wang, H. and Sorensen, D., "A System Engineering Approach using FMEA and Bayesian Network for Risk Analysis - A Case Study," Sustainability, Vol. 12, No. 1, pp. 77-95, 2020. DOI |
5 | "Capacitors Age and Capacitors Have an End of Life", Emerson Network Power, pp. 1-14, 2008. |
6 | Shon, J. G. and Kim, D. J., "A Simple Capacitance Estimation Method for Failure Diagnosis of DC Link Electrolytic Capacitor in Power Converters", The Korean Institute of Electrical Engineers, Vol. 59, No. 4, pp. 378-383, 2010. |
7 | Choi, H., Kim, T. K., Heo, G. R., Choi, S. D. and Hur, J. W., "Study of Fuel Pump Failure Prognostic Based on Machine Learning Using Artificial Neural Network", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 18, No. 9, pp. 52-57, 2019. |
8 | Shon, J. G., "On-line Failure Detection Method of DC Output Filter Capacitor in Power Converters", The Transaction of the Korean Institute of Electrical Engineers, Vol. 58, No. 4, pp. 483-489, 2009. |
9 | "Understanding LSTM Networks", https://colah.github.io/posts/2015-08-Understanding-LSTMs/ |
10 | Yang, Y. S. and Bae, K. Y., "Prediction of Upset Length and Upset Time in Inertia Friction Welding Process Using Deep Neural Network", Journal of the Korean Society of Manufacturing Process Engineers, Vol. 18, No. 11 pp. 47-56, 2019. DOI |
11 | Park, S. B., Kim, G. H., Baek, H. J., Han, J. H. and Kim, J. H., "Remote Pulse Rate Measurement From Near-Infrared Videos" IEEE Signal Processing Letters, Vol. 25, No. 8, pp. 1271-1275, 2018. DOI |