KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments
Rolling bearings often produce non-stationary signals that are easily obscured by noise, particularly in high-noise environments, making fault detection a challenging task. To address this challenge, a novel fault diagnosis approach based on the Kolmogorov–Arnold Network-based Hypergraph Message Pas...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2024-10-01
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| Serija: | Sensors |
| Teme: | |
| Online pristup: | https://www.mdpi.com/1424-8220/24/19/6448 |
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