Enhanced Feature Extraction Network Based on Acoustic Signal Feature Learning for Bearing Fault Diagnosis

The method of acoustic radiation signal detection not only enables contactless measurement but also provides comprehensive state information during equipment operation. This paper proposes an enhanced feature extraction network (EFEN) for fault diagnosis of rolling bearings based on acoustic signal...

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Detalles Bibliográficos
Autores principales: Luo, Yuanqing, Lu, Wenxia, Kang, Shuang, Tian, Xueyong, Kang, Xiaoqi, Sun, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647236/
https://www.ncbi.nlm.nih.gov/pubmed/37960402
http://dx.doi.org/10.3390/s23218703

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647236/
https://www.ncbi.nlm.nih.gov/pubmed/37960402
http://dx.doi.org/10.3390/s23218703

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