Fault Diagnosis Method for Bearing Based on Attention Mechanism and Multi-Scale Convolutional Neural Network

Fault Diagnosis Method for Bearing Based on Attention Mechanism and Multi-Scale Convolutional Neural Network

Convolutional neural networks (CNNs) serve as powerful feature extraction tools capable of effectively extracting information from complex environments, thus improving the accuracy of fault identification for bearing data. In this paper, we present a method for diagnosing bearing faults using an att...

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Bibliographic Details
Main Authors: Qimin Shen, Zengqiang Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
CNN
bearing
attention mechanism
fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/10411892/

Internet

https://ieeexplore.ieee.org/document/10411892/

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