Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network

Mechanical Systems and Signal Processing(2023)

引用 43|浏览3
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摘要
•Multiple subnet-works for source-target domain to extract invariant features.•Construct IA-Module and EA-Module to form dual adversarial training.•Design MCD-Module to assists the model to make better fusion decisions.•The proposed method performs better than other unsupervised learning methods.
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关键词
Rotating machinery fault diagnosis,Dual adversarial training,Multi-subnet collaborative decision making,Transfer learning,Unsupervised multi-domain adaptation
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