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A New Dual-Input Deep Anomaly Detection Method for Early Faults Warning of Rolling Bearings
To address the problem of low fault diagnosis accuracy caused by insufficient fault samples of rolling bearings, a dual-input deep anomaly detection method with zero fault samples is proposed for early fault warning of rolling bearings. First, the main framework of dual-input feature extraction base...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535341/ https://www.ncbi.nlm.nih.gov/pubmed/37766068 http://dx.doi.org/10.3390/s23188013 |