Nov 6, 2023 · A prototype-driven class-wise adversarial transfer network (PCATN) is proposed in this study. First, aiming to enhance the classification robustness.

A prototype-driven class-wise adversarial transfer network (PCATN) is proposed, aiming to enhance the classification robustness, and a novel prototype ...

Prototype-Driven Class-Wise Adversarial Transfer Networks for Partial Domain Fault Diagnosis of Rolling Bearings ... The ADS is operated by the Smithsonian ...

Nov 15, 2023 · The experimental results show that the proposed method outperforms all the comparison methods, achieving over 10% improvement in average ...

The experimental results show that the proposed method outperforms all the comparison methods, achieving over 10% improvement in average diagnostic accuracy on ...

Prototype-driven class-wise adversarial transfer networks for partial domain fault diagnosis of rolling bearings. IEEE Transactions on Instrumentation and ...

To address the above challenges, a prototype-driven class-wise adversarial transfer network is proposed in this study. First, aiming to enhance the ...

Unsupervised domain adaptation methods have recently achieved satisfactory results in detecting mechanical faults with slight class relevance.

A balanced adversarial domain adaptation network (BADAN) is proposed for intelligent fault diagnosis tasks under partial transfer scenarios and is designed ...

TL;DR: A balanced adversarial domain adaptation network (BADAN) is proposed for intelligent fault diagnosis tasks under partial transfer scenarios and is ...