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

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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Bibliographic Details
Main Authors: Mengnan Cao, Yingning Qiu, Yanhui Feng, Hao Wang, Dan Li
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Energies
Subjects:
wind turbine
fault diagnosis
unscented Kalman filter
SCADA data
Online Access:http://www.mdpi.com/1996-1073/9/10/847

Internet

http://www.mdpi.com/1996-1073/9/10/847

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