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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

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