Convolutional neural network with Huffman pooling for handling data with insufficient categories: A novel method for anomaly detection and fault diagnosis

The rotating component is an important part of the modern mechanical equipment, and its health status has a great impact on whether the equipment can safely operate. In recent years, convolutional neural network has been widely used to identify the health status of the rotor system. Previous studies...

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Detalles Bibliográficos
Autores principales: Li, Yuqing, Lei, Mingjia, Cheng, Yao, Wang, Rixin, Xu, Minqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358713/
https://www.ncbi.nlm.nih.gov/pubmed/36344222
http://dx.doi.org/10.1177/00368504221135457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358713/
https://www.ncbi.nlm.nih.gov/pubmed/36344222
http://dx.doi.org/10.1177/00368504221135457

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