Mathematical Problems in Engineering / 2014 / Article / Tab 3

Research Article

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 typeRecognition rate /%
Normal state0.18 mm fault depth0.36 mm fault depth0.53 mm fault depth0.71 mm fault depth

Neural network9096949390
RBF kernel9493919691
Symlet wavelet kernel9195949799
db wavelet kernel9098969290
Gaussian kernel9899979898
MWSVM100100100100100