Plastic Bearing Fault Diagnosis Based on a Two-Step Data Mining Approach

@article{He2013PlasticBF,
  title={Plastic Bearing Fault Diagnosis Based on a Two-Step Data Mining Approach},
  author={David He and Ruoyu Li and Junda Zhu},
  journal={IEEE Transactions on Industrial Electronics},
  year={2013},
  volume={60},
  pages={3429-3440}
}
Plastic bearings are widely used in medical applications, food processing industries, and semiconductor industries. However, no research on plastic bearing fault diagnostics using vibration sensors has been reported. In this paper, a two-step data mining-based approach for plastic bearing fault diagnostics using vibration sensors is presented. The two-step approach utilizes envelope analysis and empirical mode decomposition (EMD) to preprocess vibration signals and extract frequency domain and… CONTINUE READING
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