Bearing Fault Diagnosis Under Variable Working Conditions Base on Contrastive Domain Adaptation Method
Author:
Affiliation:
1. College of Automation, Chongqing University, Chongqing, China
Funder
National Nature Science Foundation
National Key Research and Development
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09865985.pdf?arnumber=9865985
Reference40 articles.
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3. Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
4. Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising;wang;ISA Trans,2021
5. Fault diagnosis of multi-channel data by the CNN with the multilinear principal component analysis
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