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

Table 13

Statistics comparing the accuracy of other common methods.

Methods of classification	Accuracy percentage (50 dB noise addition)
ANN-based DWT	94.37
NFS-based DWT	96.5
MSVM-based WPT	96.8
RBES-based DWT	98.7
DT-based ST	98.5
RBES-based ST	98.2
PNN-based ST	97.4
ST with FES-CF	99.8
Proposed OTQWT with ISVM	99.64