Bearing Fault Classification Based on Convolutional Neural Network in Noise Environment

Bearing Fault Classification Based on Convolutional Neural Network in Noise Environment

Bearing fault diagnosis is an important technique in industrial production as bearings are one of the key components in rotating machines. In bearing fault diagnosis, complex environmental noises will lead to inaccurate results. To address the problem, bearing fault classification methods should be...

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Bibliographic Details
Main Authors: Qinyu Jiang, Faliang Chang, Bowen Sheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bearing fault
convolutional neural network
fault diagnosis
spectral kurtosis
Online Access:https://ieeexplore.ieee.org/document/8723023/

Internet

https://ieeexplore.ieee.org/document/8723023/

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