ICEEMDAN and LSTM Spindle System Fault Diagnosis Method
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49413-0_63
Reference18 articles.
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2. Li, H., Liu, T., Wu, X., et al.: An optimized VMD method and its applications in bearing fault diagnosis. Measurement 166, 108185 (2020)
3. Zhang, X., Zhao, B., Lin, Y.: Machine learning-based bearing fault diagnosis using the case western reserve university data: a review. IEEE Access 9, 155598–155608 (2010)
4. Shah, A.K., Yadav, A., Malik, H.: EMD and ANN-based intelligent model for bearing fault diagnosis. J. Intell. Fuzzy Syst. 35(5), 5391–5402 (2018)
5. Zou, P., Hou, B., Lei, J., et al.: Bearing fault diagnosis method based on EEMD and LSTM. Int. J. Comput. Commun. Control 15(1) (2020)
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