Co-attention learning cross time and frequency domains for fault diagnosis
Rolling machinery is ubiquitous in power transmission and transformation equipment, but it suffers from severe faults during long-term running. Automatic fault diagnosis plays an important role in the production safety of power equipment. This paper proposes a novel cross-domain co-attention network...
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| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
KeAi Communications Co. Ltd.
2023-01-01
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| Серии: | Cognitive Robotics |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2667241323000095 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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