• Computer Science, Medicine, Engineering
  • Published in Sensors 2019
  • DOI:10.3390/s19224827

Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions

@inproceedings{Liu2019LightweightCN,
  title={Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions},
  author={Hengchang Liu and Dechen Yao and Jianwei Yang and Xi Li},
  booktitle={Sensors},
  year={2019}
}
The rolling bearing is an important part of the train's running gear, and its operating state determines the safety during the running of the train. Therefore, it is important to monitor and diagnose the health status of rolling bearings. A convolutional neural network is widely used in the field of fault diagnosis because it does not require feature extraction. Considering that the size of the network model is large and the requirements for monitoring equipment are high. This study proposes a… CONTINUE READING

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