Intelligent fault diagnosis algorithm of rolling bearing based on optimization algorithm fusion convolutional neural network

Intelligent fault diagnosis algorithm of rolling bearing based on optimization algorithm fusion convolutional neural network

As an essential component of mechanical equipment, the fault diagnosis of rolling bearings may not only guarantee the systematic operation of the equipment, but also minimize any financial losses caused by equipment shutdowns. Fault diagnosis algorithms based on convolutional neural networks (CNN) h...

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Bibliographic Details
Main Authors: Qiushi Wang, Zhicheng Sun, Yueming Zhu, Chunhe Song, Dong Li
Format: Article
Language:English
Published: AIMS Press 2023-11-01
Series:Mathematical Biosciences and Engineering
Subjects:
fault diagnosis
de-gwo
rolling bearing
attention mechanism
1dcnn
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023884?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023884?viewType=HTML

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