Weighted Entropy Minimization Based Deep Conditional Adversarial Diagnosis Approach Under Variable Working Conditions

IEEE/ASME Transactions on Mechatronics(2021)

引用 12|浏览5
暂无评分
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 ...
更多
查看译文
关键词
Fault diagnosis,Feature extraction,Employee welfare,Convolution,Training,Monitoring,Entropy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要