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Adversarial adaptive 1-D convolutional neural networks for bearing fault
  diagnosis under varying working condition

Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition

1 May 2018
Bo Zhang
Wei Li
Jie Hao
Xiao-Li Li
Meng Zhang
ArXivPDFHTML

Papers citing "Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition"

4 / 4 papers shown
Title
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Oversampling Adversarial Network for Class-Imbalanced Fault Diagnosis
Masoumeh Zareapoor
Pourya Shamsolmoali
Jie Yang
38
98
0
07 Aug 2020
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault
  Diagnosis
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis
Qin Wang
Gabriel Michau
Olga Fink
17
55
0
07 Jan 2020
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault
  Diagnosis: A Survey and Comparative Study
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao
Qiyang Zhang
Xiaolei Yu
Chuang Sun
Shibin Wang
Ruqiang Yan
Xuefeng Chen
AI4CE
19
353
0
28 Dec 2019
Domain Adaptive Transfer Learning for Fault Diagnosis
Domain Adaptive Transfer Learning for Fault Diagnosis
Qin Wang
Gabriel Michau
Olga Fink
AI4CE
11
112
0
15 May 2019
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