The Research of Fault Diagnosis Method of Roller Bearing Based on EMD and VPMCD
2014 ◽
Vol 1014
◽
pp. 505-509
◽
Keyword(s):
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.
2014 ◽
Vol 1014
◽
pp. 501-504
◽
Keyword(s):
2013 ◽
Vol 694-697
◽
pp. 1160-1166
2006 ◽
Vol 294
(1-2)
◽
pp. 269-277
◽
Keyword(s):
Roller Bearing Fault Diagnosis Based on Empirical Mode Decomposition and Targeting Feature Selection
2019 ◽
Vol 630
◽
pp. 012023
2015 ◽
Vol 724
◽
pp. 238-241
Keyword(s):