Research Article

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

Table 1

Features expression.

LabelExpressionLabelExpression

Peak factorForm factor

Margin factorPower spectrum gravity index

Pulse factorPower spectrum variance

KurtosisMean square frequency

SkewnessInformation entropy

The details of the expressions in the table are as follows: is frequency at th sample; is power spectrum at th sample; is density.