Fault Diagnosis Method of Gear Based on Local Mean Decomposition and Least Squares Support Vector Machine
2013 ◽
Vol 415
◽
pp. 548-554
Keyword(s):
For differences of time-domain energy distribution of different gear fault vibration signal, an analytical method based on local mean decomposition (LMD) and least squares support vector machine (LS-SVM) is proposed to apply to gear fault diagnosis. First vibrational signal of gear is decomposed into a series of product functions (PF) by LMD method. Then extracting energy characteristic parameters of PF components which contain main fault information to constitute a fault feature vectors, which is considered as input sample of well-trained LS-SVM, and then identifying working state and fault type of different gear can be identified accurately and effectively by diagnostic method based on LMD and LS-SVM.
2017 ◽
Vol 32
(3)
◽
pp. 2061-2070
◽
Keyword(s):
2016 ◽
Vol 40
(4)
◽
pp. 541-549
2016 ◽
Vol 8
(1)
◽
pp. 168781401662934
◽
2014 ◽
Vol 1014
◽
pp. 510-515
◽
Keyword(s):
Keyword(s):
Keyword(s):
2015 ◽
Vol 2015
◽
pp. 1-6
◽
2016 ◽
Vol 851
◽
pp. 574-581
Keyword(s):