Rolling Bearing Fault Diagnosis Based on Recurrence Plot

Rolling Bearing Fault Diagnosis Based on Recurrence Plot

A bearing fault diagnosis method based on recurrence plots and a fusion neural network is proposed to address the low recognition accuracy of noisy bearing vibration data. Compared to existing methods, this approach leverages the recurrence plot technique to convert vibration signals into color imag...

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Bibliographic Details
Main Authors: Zheming Chen, Bin Xu, Zhong Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Bearing fault diagnosis
convolutional neural network
convolutional layers
fault diagnosis accuracy
fault feature extraction
max-pooling layer
Online Access:https://ieeexplore.ieee.org/document/10703061/
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