Jan 5, 2021 · When the discreteness and meanness of unbalanced sample features are small, the DPJE module will selectively enhance its feature information, so ...

Apr 19, 2024 · Xu et al applied a novel transfer diagnosis method based on a discrete-peak joint attention enhancement mechanism to unbalanced samples [29] .

Deep learning has been widely used in intelligent fault diagnosis field in the era of industrial internet due to its excellent big data analysis ability.

A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism. K Xu, S Li, X Jiang, J Lu, T Yu, R Li.

To address these issues, we propose a novel interpretable Siamese dual attention enhancement transfer compound diagnosis model for unbalanced samples. The model ...

Xu, A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism, Knowl-Based Syst, № 212 https ...

Mar 16, 2024 · A novel transfer diagnosis method under unbalanced sample based on discrete-peak joint attention enhancement mechanism. Article. Jan 2021 ...

The proposed novel interpretable Siamese dual attention enhancement transfer compound diagnosis model has good interpretability for imbalanced sample ...

Dec 30, 2022 · The proposed method can explicitly generate high-quality fake samples, which greatly improves the accuracy of class-unbalanced fault diagnosis under small ...

Pan et al. categorized GAN-based intelligent fault diagnosis methods into three aspects: data augmentation, transfer learning, and anomaly detection (Pan et al.