Transformer network enhanced by dual convolutional neural network and cross-attention for wheelset bearing fault diagnosis
Advances in deep learning methods have demonstrated remarkable progress in wheelset fault diagnosis. However, current deep neural networks suffer from design flaws, including low accuracy, high computational complexity, limitations in frequency-domain analysis, and inefficient long time-series featu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2025.1546620/full |
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