Intelligent Fault Diagnosis of Wind Turbine Generator Bearings Using Acoustic Signals

Intelligent Fault Diagnosis of Wind Turbine Generator Bearings Using Acoustic Signals

Wind turbine generator bearings are key components in wind power generators, where accurate and convenient fault diagnosis for product predelivery inspection and depot repair inspection is a major challenge to ensure their safe operation. In this study, an artificial-intelligence-based method was de...

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Bibliographic Details
Main Authors: Bei Zhao, Xiaomeng Li, Zedong Li, Minli You, Feng Xu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Acoustic applications
acoustic signal processing
artificial intelligence
convolutional neural networks
deep learning
fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/10681092/
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https://ieeexplore.ieee.org/document/10681092/

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