Fault Diagnosis of Bearings Under Different Working Conditions based on MMD-GAN
Author:
Funder
National Natural Science Foundation of China
Key Program Special Fund in XJTLU
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9601162/9601344/09601507.pdf?arnumber=9601507
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Unsupervised Method Based on Adversarial Domain Adaptation for Bearing Fault Diagnosis;Applied Sciences;2023-06-15
2. Predicting the Urban Water Demand Based on Transfer Learning Method With Multi-head Attention;GLOBECOM 2022 - 2022 IEEE Global Communications Conference;2022-12-04
3. Power Equipment Fault Diagnosis Method Based on Energy Spectrogram and Deep Learning;Sensors;2022-09-27
4. Rolling Bearing Fault Diagnosis Based on Deep Adversarial Networks with Convolutional Layer and Wasserstein Distance;2022 27th International Conference on Automation and Computing (ICAC);2022-09-01
5. Adversarial Based Unsupervised Domain Adaptation for Bearing Fault Diagnosis;2022 27th International Conference on Automation and Computing (ICAC);2022-09-01
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