Author:
Feng Tao,Liu Yishi,Li Qingdong,Ren Zhang
Publisher
Springer Nature Singapore
Reference16 articles.
1. Wang, Y., Ma, X., Qian, P.: Wind turbine fault detection and identification through PCA-based optimal variable selection. IEEE Trans. Sustain. Energy 9(4), 1627–1635 (2018)
2. Yang, W., Court, R., Jiang, J.: Wind turbine condition monitoring by the approach of SCADA data analysis. Renewable Energy 5(3), 365–376 (2013)
3. Cheng, F., Qu, L., Qiao, W., Hao, L.: Enhanced particle filtering for bearing remaining useful life prediction of wind turbine drivetrain gearboxes. IEEE Trans. Industr. Electron. 66(6), 4738–4748 (2019)
4. Li, R., Frogley, M.: On-line fault detection in wind turbine transmission system using adaptive filter and robust statistical features. Int. J. Prognostics Health Manage. 4(2), 115 (2013)
5. Kruger, M., Ding, S., Haghani, A., Engel, P., Jeinsch, T: A data-driven approach for sensor fault diagnosis in gearbox of wind energy conversion system. In: IEEE International Conference on Control & Automation. IEEE (2013)
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