A Novel Bearing Fault Classification Method Based on XGBoost: The Fusion of Deep Learning-Based Features and Empirical Features

Jingsong Xie, Zhaoyang Li, Zitong Zhou, Scarlett Liu. A Novel Bearing Fault Classification Method Based on XGBoost: The Fusion of Deep Learning-Based Features and Empirical Features. IEEE T. Instrumentation and Measurement, 70:1-9, 2021. [doi]

@article{XieLZL21,
  title = {A Novel Bearing Fault Classification Method Based on XGBoost: The Fusion of Deep Learning-Based Features and Empirical Features},
  author = {Jingsong Xie and Zhaoyang Li and Zitong Zhou and Scarlett Liu},
  year = {2021},
  doi = {10.1109/TIM.2020.3042315},
  url = {https://doi.org/10.1109/TIM.2020.3042315},
  researchr = {https://researchr.org/publication/XieLZL21},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Instrumentation and Measurement},
  volume = {70},
  pages = {1-9},
}