Bearing fault diagnosis based on spectrum images of vibration signals

@article{Li2016BearingFD,
  title={Bearing fault diagnosis based on spectrum images of vibration signals},
  author={Wei Li and Mingquan Qiu and Zhencai Zhu and Bo Wu and Gongbo Zhou},
  journal={ArXiv},
  year={2016},
  volume={abs/1511.02503}
}
Bearing fault diagnosis has been a challenge in the monitoring activities of rotating machinery, and it's receiving more and more attention. The conventional fault diagnosis methods usually extract features from the waveforms or spectrums of vibration signals in order to correctly classify faults. In this paper, a novel feature in the form of images is presented, namely analysis of the spectrum images of vibration signals. The spectrum images are simply obtained by doing fast Fourier… CONTINUE READING
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Classification of bearing faults through time-frequency analysis and image processing

  • 2016 17th International Conference on Mechatronics - Mechatronika (ME)
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