Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine

Table 6

OTQWT-ISVM classification results on real-world test signals.

Classes	PCL1	PCL2	PCL3	PCL4	PCL5	PCL6	PCL7	PCL8	PCL9	PCL10	PCL11	PCL12	Sine wave
PCL1	95	2	0	0	0	1	0	0	1	0	0	0	1
PCL2	1	96	0	0	0	0	0	1	0	0	0	0	2
PCL3	0	0	100	0	0	0	0	0	0	0	0	0	0
PCL4	0	0	0	100	0	0	0	0	0	0	0	0	0
PCL5	0	0	1	0	97	0	1	0	0	1	0	0	0
PCL6	0	0	0	0	0	100	0	0	0	0	0	0	0
PCL7	0	0	0	0	0	0	100	0	0	0	0	0	0
PCL8	0	0	0	0	0	0	0	100	0	0	0	0	0
PCL9	0	0	0	0	0	0	0	0	100	0	0	0	0
PCL10	0	0	0	0	0	0	0	0	0	99	1	0	0
PCL11	0	0	0	0	0	0	0	0	0	0	100	0	0
PCL12	0	0	0	0	0	0	0	0	0	0	0	100	0
Sine wave	0	0	0	0	0	0	0	0	0	0	0	0	100

Accuracy = 99%, sensitivity = 100%, and specificity = 98.91%.