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mdsan's Introduction

MDSAN

Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation

Our operating environment

  • Python 3.8
  • pytorch 1.10.1
  • numpy 1.22.0 (If you get an error when saving data, try lowering your numpy version!)
  • and other necessary libs

Datasets

  • CWRU凯斯西储大学公开轴承数据集

  • We are sorry to say that due to data confidentiality reasons, the data on the rotational speed fluctuation bearings in our laboratory, which are included in the paper, cannot be disclosed yet.很抱歉因为数据保密原因,论文中涉及的我们实验室的转速波动轴承数据尚不能公开

  • Citation

If our work is useful to you, please cite the following paper, it is the greatest encouragement to our open source work, thank you very much!

@paper{
  title = {Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation},
  author = {Jingjie Luo, Haidong Shao, Hongru Cao, Xingkai Chen, Baoping Cai, Bin Liu},
  journal = {Journal of Manufacturing Systems},
  volume = {65},
  pages = {180-191},
  year = {2022},
  doi = {doi.org/10.1016/j.eswa.2023.121338},
  url = {https://www.sciencedirect.com/science/article/pii/S0957417423018407},
}

Contact

mdsan's People

Contributors

luojunqing666 avatar

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