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Power Quality Disturbance Classification Using S-Transform and Decision Tree

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2 Author(s)
Huimin Quan ; Coll. of Electr. & Inf., Hunan Univ., Changsha ; Yuxing Dai

In order to solve the detection and classification of power quality disturbances, a new approach combining S-transform and decision tree is proposed. First, some disturbances are decomposed through S-transform time-frequency analysis, three feature functions are defined, then feature components are extracted, and decision rules are found, finally the decision tree approach for disturbances classification is presented. The simulation results show that the method could detect and classify the power quality disturbances effectively and has high classification correct ratio even though in noise condition. The reasons are also analyzed in this paper.

Published in:

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on  (Volume:2 )

Date of Conference:

19-20 Dec. 2008