Automatic Classification of Power Quality Events Using Multiwavelets

Multiwavelets technique is here proposed to classify the power quality (PQ) events. This leads to easy extraction of feature set. In the proposed classification scheme initially the events are detected from the test data in accordance with the IEEE standards. Then, two sub-classifiers, namely, chi-square distribution and heuristic classifier with different confidence levels have been used along with the Dempster-Shafer (DS) class for final decision making.