Study of Wind Turbine Fault Diagnosis Based on Unscented Kalman Filter and SCADA Data

Effective wind turbine fault diagnostic algorithms are crucial for wind turbine intelligent condition monitoring. An unscented Kalman filter approach is proposed to successfully detect and isolate two types of gearbox failures of a wind turbine in this paper. The state space models are defined for t...

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Autors principals:	Mengnan Cao, Yingning Qiu, Yanhui Feng, Hao Wang, Dan Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2016-10-01
Col·lecció:	Energies
Matèries:	wind turbine fault diagnosis unscented Kalman filter SCADA data
Accés en línia:	http://www.mdpi.com/1996-1073/9/10/847
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