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

Abstract

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… (More)
DOI: 10.1371/journal.pone.0109166

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@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} }