Monitoring and Identifying Wind Turbine Generator Bearing Faults Using Deep Belief Network and EWMA Control Charts

• Published in: Frontiers in Energy Research Vol. 9
• Main Authors: Li, Huajin, Deng, Jiahao, Yuan, Shuang, Feng, Peng, Arachchige, Dimuthu D. K.
• Format: Journal Article
• Language: English; Japanese
• Published: Frontiers Media SA 19.11.2021; Frontiers Media S.A
• Subjects: A; bearing failure; condition monitoring; deep belief network; EWMA control chart; General Works; SCADA data analysis

Wind turbines are widely installed as the new source of cleaner energy production. Dynamic and random stress imposed on the generator bearing of a wind turbine may lead to overheating and failure. In this paper, a data-driven approach for condition monitoring of generator bearings using temporal tem...