Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples: A Deep CNN Method Based on Knowledge-Transferring from Shallow Models

Jing Zhang, Deqing Zhang, Mingyue Yang, Xiaobin Xu, Weifeng Liu, Chenglin Wen. Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples: A Deep CNN Method Based on Knowledge-Transferring from Shallow Models. In 2018 International Conference on Control, Automation and Information Sciences, ICCAIS 2018, Hangzhou, China, October 24-27, 2018. pages 482-487, IEEE, 2018. [doi]

@inproceedings{ZhangZYXLW18,
  title = {Fault Diagnosis for Rotating Machinery with Scarce Labeled Samples: A Deep CNN Method Based on Knowledge-Transferring from Shallow Models},
  author = {Jing Zhang and Deqing Zhang and Mingyue Yang and Xiaobin Xu and Weifeng Liu and Chenglin Wen},
  year = {2018},
  doi = {10.1109/ICCAIS.2018.8570515},
  url = {https://doi.org/10.1109/ICCAIS.2018.8570515},
  researchr = {https://researchr.org/publication/ZhangZYXLW18},
  cites = {0},
  citedby = {0},
  pages = {482-487},
  booktitle = {2018 International Conference on Control, Automation and Information Sciences, ICCAIS 2018, Hangzhou, China, October 24-27, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-6020-1},
}