A Dual-Channel Fault Diagnosis Method for Rolling Bearings Based on VMD-BiGRU and GADF-ResNet-CBAM
To address the drawbacks of traditional convolutional neural network-based rolling bearing fault diagnosis techniques, including poor feature extraction, low diagnostic accuracy, and poor generalization capability, a dual-channel rolling bearing fault diagnosis model based on VMD-BiGRU and GADF-ResN...
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2026-05-01
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| Schriftenreihe: | Applied Sciences |
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| Online-Zugang: | https://www.mdpi.com/2076-3417/16/10/4968 |
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