Sep 29, 2022 · In this study, the collaborative and conditional deep adversarial network (CCDAN) is proposed for cross-domain bearing faults diagnosis. In ...
Collaborative and Conditional Deep Adversarial Network for Intelligent ...
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In this study, the Collaborative and Conditional Deep. Adversarial Network (CCDAN) is proposed for cross-domain bearing faults diagnosis. In CCDAN, ...
In this study, the collaborative and conditional deep adversarial network (CCDAN) is proposed for cross-domain bearing faults diagnosis and the multiple ...
Oct 22, 2024 · In this study, the Collaborative and Conditional Deep Adversarial Network (CCDAN) is proposed for cross-domain bearing faults diagnosis. In ...
Collaborative and Conditional Deep Adversarial Network for ...
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This paper proposes a Collaborative Domain Adversarial Network (CDAN) method for the fault diagnosis of rolling bearings using unlabeled data.
A trackable multi-domain collaborative generative adversarial network (TMCGAN) is proposed for rotating machinery fault diagnosis.
In this paper, a fault diagnosis method based on lightweight conditional generative adversarial networks (CGAN) is investigated.
Oct 22, 2024 · Deep transfer learning provides an advanced analytical tool for intelligent fault diagnosis to learn shared fault knowledge in industrial ...
Mar 20, 2024 · A transfer diagnosis method based on multi-representation adversarial neural network is proposed. First, the multi-representation neural network is applied to ...