Dual-Channel Rolling Bearing Fault Diagnosis Method Based on ACNN-LFSwin Transformer
Rolling bearings are components commonly used in mechanical equipment. Traditional methods struggle to classify signals with numerous complex features in a multi-noise environment. They often rely on classical deep learning models for performing fault diagnosis using one-dimensional data, failing to...
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| Formato: | Artigo |
| Idioma: | Inglês |
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Editorial Office of Computer Engineering
2026-05-01
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| Series: | Jisuanji gongcheng |
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| Acceso en liña: | https://www.ecice06.com/fileup/1000-3428/PDF/20260535.pdf |
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