Bearing fault diagnosis based on dual-stream CNN using wavelet time-frequency FFT spectrum

Author:

Xu Mingshen,Li Tianyi,Guan Po,Shen Xinzhuo,Fu Yu

Publisher

SPIE

Reference6 articles.

1. Pang Jun, Liu Xin, Duan Minxia, et al. Bearing fault diagnosis based on improved convolutional neural network [J]. Modular Machine Tool and Automatic Manufacturing Technique, 2021 (3): 66–69.

2. Open-circuit Fault Diagnosis Based on 1D-CNN for Three-phase Full-bridge Inverter;Sun,2020

3. Fault mode recognition of rolling bearings based on two-dimensional image and CNN-BiGRU network [J];Zhang;Vibration and Shock,2021

4. Research on rotating machinery fault diagnosis based on multi-feature fusion CNN network [J];Leng;Software Guide,2021

5. 2D-CNN-Based Fault Diagnosis of Internal Leakage in Electro-Hydrostatic Actuators;Ruan,2022

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