A Novel Fault Diagnosis Model for Bearing of Railway Vehicles Using Vibration Signals Based on Symmetric Alpha-Stable Distribution Feature Extraction

Table 7

Recognition accuracies of the feature classification with different methods.

Fault classification method	Faults classification result (%)
	F1	F2	F3	F4	F5	F6	F7	Average accuracy
GS-LS-WSVM	95	82.5	100	90	77.5	100	100	92.14
GA-LS-WSVM	100	87.5	100	85	82.5	100	100	93.57
PSO-LS-WSVM	100	90	100	92.5	87.5	100	100	95.71