A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition

@inproceedings{Wang2014ACF,
  title={A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition},
  author={Huaqing Wang and Ruitong Li and Gang Tang and Hongfang Yuan and Qingliang Zhao and Xi Cao and Dewen Hu},
  booktitle={PloS one},
  year={2014}
}
A Compound fault signal usually contains multiple characteristic signals and strong confusion noise, which makes it difficult to separate week fault signals from them through conventional ways, such as FFT-based envelope detection, wavelet transform or empirical mode decomposition individually. In order to improve the compound faults diagnose of rolling bearings via signals' separation, the present paper proposes a new method to identify compound faults from measured mixed-signals, which is… CONTINUE READING

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