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Table 3 Comparison of recognition accuracy of different detection algorithms

From: Power quality disturbance classification based on time-frequency domain multi-feature and decision tree

Detection algorithms

Noise/dB

0

50

40

30

20

DT

99.78%

99.59%

99.59%

99.11%

97.81%

SVM

98.22%

97.67%

97.33%

96.78%

92.52%

KNN

98.93%

98.56%

98.48%

98.0%

96.78%