A Novel Supervised Filter Feature Selection Method Based on Gaussian Probability Density for Fault Diagnosis of Permanent Magnet DC Motors

Weihao Wang, Lixin Lu, Wang Wei. A Novel Supervised Filter Feature Selection Method Based on Gaussian Probability Density for Fault Diagnosis of Permanent Magnet DC Motors. Sensors, 22(19):7121, 2022. [doi]

@article{WangLW22a-3,
  title = {A Novel Supervised Filter Feature Selection Method Based on Gaussian Probability Density for Fault Diagnosis of Permanent Magnet DC Motors},
  author = {Weihao Wang and Lixin Lu and Wang Wei},
  year = {2022},
  doi = {10.3390/s22197121},
  url = {https://doi.org/10.3390/s22197121},
  researchr = {https://researchr.org/publication/WangLW22a-3},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {22},
  number = {19},
  pages = {7121},
}