Power Quality Disturbances Classification Based on Modified S Transform and Decision Tree
2013 ◽
Vol 860-863
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pp. 1891-1894
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A novel method for power quality disturbances classification is presented using modified S transform (MST) and decision tree. The time-frequency properties of power quality disturbances are analyzed and the effects of window-wide parameter g on the properties are discussed. Four statistical features are extracted from the MST module time-frequency matrix and a decision tree is utilized to recognize 9 power quality disturbances. The simulations are made to illustrate the validity of the method proposed for power quality disturbances recognition.
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2015 ◽
Vol 51
(2)
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pp. 1249-1258
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2016 ◽
Vol 27
(4)
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pp. e2286
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2013 ◽
Vol 23
(4)
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pp. 1071-1083
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