Bearing Fault Automatic Classification Based on Deep Learning

Bearing Fault Automatic Classification Based on Deep Learning

An automatic classification method based on deep learning for bearing fault diagnosis is proposed. The method is designed with the ability of faulty signal automatic clustering without human knowledge. A dataset in which each sample is given a random label is configured after extracting the features...

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Bibliographic Details
Main Authors: Yanli Yang, Peiying Fu, Yichuan He
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Rotating machinery
fault diagnosis
deep learning
artificial neural network
bearing
fast Fourier transforms
Online Access:https://ieeexplore.ieee.org/document/8537893/

Internet

https://ieeexplore.ieee.org/document/8537893/

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