Code of paper: 'A novel bearing fault classification method based on XGBoost: the fusion of deep learning based features and empirical features'.
License: MIT License
Implementation of "A novel bearing fault classification method based on XGBoost: the fusion of deep learning based features and empirical features".
Final code
Upgraded to TensorFlow 2.1
The paper has been published in IEEE Transactions on Instrumentation and Measurement
DOI: 10.1109 / TIM. 2020.3042315
The processed dataset used in this paper is not available because the provider of the data for this paper does not agree to make the private dataset public.
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