1. Diagnosing and predicting wind turbine faults from SCADA data using support vector machines;Leahy;International Journal of Prognostics and Health Management,2018
2. On the assessment of performance and robustness of condition-based maintenance strategies;Cherkaoui;IFAC-PapersOnLine,2016
3. W. R. Jacobs, H. Edwards, P. Li, V. Kadirkamanathan and A. R. Mills, "Gas turbine engine condition monitoring using Gaussian mixture and hidden Markov models.," International Journal of Prognostics and Health Management, vol. 9.
4. Diagnosing and predicting wind turbine faults from SCADA data using support vector machines;Leahy;International Journal of Prognostics and Health Management,2018
5. R. Zhao, J. Wang, R. Yan and K. Mao, "Machine health monitoring with LSTM networks," in IEEE 10th International Conference on Sensing Technology (ICST), 2016.