Enhanced Bearing Fault Diagnosis under Strong Noise: An improved Inception Inverted Residual Ghost ShuffleNet

Author:

Liu Bao1ORCID,Wang Fengran1ORCID

Affiliation:

1. College of control science and engineering, China University of Petroleum (East China), China

Publisher

ACM

Reference16 articles.

1. Overview of Friction and Wear Performance of Sliding Bearings

2. A New Statistical Features Based Approach for Bearing Fault Diagnosis Using Vibration Signals. Sensors (Basel;Burdzik R;Switzerland),2022

3. Bearing fault diagnosis in induction motor using continuous wavelet transform and convolutional neural networks

4. Inception-ResNet and the Impact of Residual Connections on Learning; proceedings of the 31st AAAI Conference on Artificial Intelligence, San Francisco;Szegedy C;CA, F Feb,2017

5. Searching for MobileNetV3; proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Seoul;Howard A;SOUTH KOREA, F Oct 27-,2019

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