The Research of Fault Diagnosis Method of Roller Bearing Based on EMD and VPMCD

Ran Tao; You Cai Xu; Xin Shi Li; Shu Guo; Kun Li; Min Gou

doi:10.4028/www.scientific.net/AMR.1014.505

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1014The Research of Fault Diagnosis Method of Roller...

The Research of Fault Diagnosis Method of Roller Bearing Based on EMD and VPMCD

Abstract:

Empirical mode decomposition (EMD) can extract real time-frequency characteristics from the non-stationary and nonlinear signal. Variable prediction model based class discriminate (VPMCD) is introduced into roller bearing fault diagnosis in this paper. Therefore, a fault diagnosis method based on EMD and VPMCD is put forward in the paper. Firstly, the different feature vectors in the signal are extracted by EMD. Then, different fault models of roller bearing are distinguished by using VPMCD. Finally, an simulation example based on EMD and VPMCD is shown in this paper. The results show that this method can gain very stable classification performance and good computational efficiency.

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Periodical:

Advanced Materials Research (Volume 1014)

Pages:

505-509

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1014.505

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Online since:

July 2014

Authors:

Ran Tao*, You Cai Xu, Xin Shi Li, Shu Guo, Kun Li, Min Gou

Keywords:

EMD, Fault Diagnosis, Mean Envelope, Pattern Recognition, Roll Bearing, VPMCD

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