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Shock and Vibration
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2015
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Article
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Tab 4
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Research Article
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%