Early Fault Detection of Wind Turbines Based on Operational Condition Clustering and Optimized Deep Belief Network Modeling

Early Fault Detection of Wind Turbines Based on Operational Condition Clustering and Optimized Deep Belief Network Modeling

Health monitoring and early fault detection of wind turbines have attracted considerable attention due to the benefits of improving reliability and reducing the operation and maintenance costs of the turbine. However, dynamic and constantly changing operating conditions of wind turbines still pose g...

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Bibliographic Details
Main Authors: Hong Wang, Hongbin Wang, Guoqian Jiang, Jimeng li, Yueling Wang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Energies
Subjects:
wind turbines
health monitoring
fault detection
optimized deep belief networks
supervisory control and data acquisition system
multioperation condition
Online Access:http://www.mdpi.com/1996-1073/12/6/984

Internet

http://www.mdpi.com/1996-1073/12/6/984

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