Weighted Entropy Minimization Based Deep Conditional Adversarial Diagnosis Approach Under Variable Working Conditions
IEEE/ASME Transactions on Mechatronics(2021)
摘要
Intelligent mechanical fault diagnosis is a crucial measure to ensure the safe operation of equipment. To address the issue of model collapse in domain adversarial training and the problem posed by different training samples having different transferability not considered in transfer tasks, this article proposes a weighted entropy minimization based deep conditional adversarial diagnosis approach ...
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关键词
Fault diagnosis,Feature extraction,Employee welfare,Convolution,Training,Monitoring,Entropy
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