A gray texture image data-driven intelligent fault diagnosis method of induction motor rotor-bearing system under variable load conditions
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference29 articles.
1. Effective fault diagnosis based on wavelet and convolutional attention neural network for induction motors;Tran;IEEE Trans. Instrum. Meas.,2022
2. Multiscale deep graph convolutional networks for intelligent fault diagnosis of rotor-bearing system under fluctuating working conditions;Zhao;IEEE Trans. Ind. Inf.,2023
3. Fault detection and severity identification of ball bearings by online condition monitoring;Abdeljaber;IEEE Trans. Ind. Electron.,2019
4. A sparse auto-encoder-based deep neural network approach for induction motor faults classification;Sun;Measurement,2016
5. Deep learning for diagnosis and classification of faults in industrial rotating machinery;Souza;Comput. Ind. Eng.,2021
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