A Novel Deep Convolutional Neural Network Combining Global Feature Extraction and Detailed Feature Extraction for Bearing Compound Fault Diagnosis

This study researched the application of a convolutional neural network (CNN) to a bearing compound fault diagnosis. The proposed idea lies in the ability of CNN to automatically extract fault features from complex raw signals. In our approach, to extract more effective features from a raw signal, a...

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Detalles Bibliográficos
Autores principales: Han, Shuzhen, Niu, Pingjuan, Luo, Shijie, Li, Yitong, Zhen, Dong, Feng, Guojin, Sun, Shengke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575240/
https://www.ncbi.nlm.nih.gov/pubmed/37836890
http://dx.doi.org/10.3390/s23198060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575240/
https://www.ncbi.nlm.nih.gov/pubmed/37836890
http://dx.doi.org/10.3390/s23198060

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