Research Article

An Effective Fault Feature Extraction Method for Gas Turbine Generator System Diagnosis

Table 9

Confusion matrix for SVM under polynomial kernel with and using extracted features by WPT + TDSF + KPCA.

Predicted classes
Class123456789

True classes1100000000010
2010000000010
3001000000010
4000100000010
5000010000010
6000001000010
7000000100010
800000208010
900001010810
101010101112118890

Accuracy = correct classification/all cases = 97.77%.