The Hybrid KICA-GDA-LSSVM Method Research on Rolling Bearing Fault Feature Extraction and Classification

Table 4

The performances of 4 commonly different classifiers using proposed new sensitive features set.

Method	LSSVM	KICA-LSSVM	LDA-LSSVM	GDA-LSSVM	KICA-GDA-LSSVM
Accuracy	91.7%	91.9%	92.21%	95.34%	100%