Deep Learning Method for Fault Detection of Wind Turbine Converter

Deep Learning Method for Fault Detection of Wind Turbine Converter

The converter is an important component in wind turbine power drive-train systems, and usually, it has a higher failure rate. Therefore, detecting the potential faults for prediction of its failure has become indispensable for condition-based maintenance and operation of wind turbines. This paper pr...

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Bibliographic Details
Main Authors:	Cheng Xiao, Zuojun Liu, Tieling Zhang, Xu Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Applied Sciences
Subjects:	AOC–ResNet50 network converter deep learning fault detection radar chart
Online Access:	https://www.mdpi.com/2076-3417/11/3/1280

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