A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM

Table 3

The recognition rate of traditional RBF SVM and the MWSVM.

SVM type	Recognition rate 𝜂/%
	Normal state	0.18 mm fault depth	0.36 mm fault depth	0.53 mm fault depth	0.71 mm fault depth
Neural network	90	96	94	93	90
RBF kernel	94	93	91	96	91
Symlet wavelet kernel	91	95	94	97	99
db wavelet kernel	90	98	96	92	90
Gaussian kernel	98	99	97	98	98
MWSVM	100	100	100	100	100