Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention

Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention

Recently, deep learning technology was successfully applied to mechanical fault diagnosis. The convolutional neural network (CNN), as a prevalent deep learning model, occupies a place in intelligent fault diagnosis, which reduces the need for human feature extraction and prior knowledge, thereby ach...

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Bibliographic Details
Main Authors: Tengda Huang, Sheng Fu, Haonan Feng, Jiafeng Kuang
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Energies
Subjects:
bearing fault diagnosis
multi-attention mechanism
multi-scale convolutional neural network
time frequency representation
Online Access:https://www.mdpi.com/1996-1073/12/20/3937

Internet

https://www.mdpi.com/1996-1073/12/20/3937

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