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...

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Detalles Bibliográficos
Autores principales: Kang, Yuxiang, Chen, Guo, Wang, Hao, Pan, Wenping, Wei, Xunkai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535341/
https://www.ncbi.nlm.nih.gov/pubmed/37766068
http://dx.doi.org/10.3390/s23188013

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