WaveletEnabledDeepLearning

Wavelet enabled deep learning for Intelligent Maintenance and Health Management

智能运维技术：小波赋能深度学习

Work of Ruqiang Yan's group:

1) Anomaly Detection

• MWNet:M-band wavelet network for machine anomaly detection from a frequency perspective
• MWPNet:Anomaly Detection from a Frequency Perspective: M-band Wavelet Packet Anomaly Detection Network

2) Fault Diagnosis

• DFAWnet

3) Remianing Useful Life Prediction

• None available work now

Paper：Wavelet transforms for rotary machine fault diagnosis: 10 years revisited

if you are intersted in this work, please cite

@article{yan2023wavelet,
  title={Wavelet transform for rotary machine fault diagnosis: 10 years revisited},
  author={Yan, Ruqiang and Shang, Zuogang and Xu, Hong and Wen, Jingcheng and Zhao, Zhibin and Chen, Xuefeng and Gao, Robert X},
  journal={Mechanical Systems and Signal Processing},
  volume={200},
  pages={110545},
  year={2023},
  publisher={Elsevier}
}