Condition Monitoring and Fault Diagnosis of Wind Turbines Gearbox Bearing Temperature Based on Kolmogorov-Smirnov Test and Convolutional Neural Network Model

Condition Monitoring and Fault Diagnosis of Wind Turbines Gearbox Bearing Temperature Based on Kolmogorov-Smirnov Test and Convolutional Neural Network Model

Wind turbine condition-monitoring and fault diagnosis have important practical value for wind farms to reduce maintenance cost and improve operating level. Due to the special distribution law of the operating parameters of similar turbines, this paper compares the instantaneous operation parameters...

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Bibliographic Details
Main Authors: Peng Guo, Jian Fu, XiYun Yang
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Energies
Subjects:
wind turbines
condition monitoring
Kolmogorov-Smirnov test
convolutional neural network
Online Access:http://www.mdpi.com/1996-1073/11/9/2248

Internet

http://www.mdpi.com/1996-1073/11/9/2248

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