The paper bears recent advances in wavelate transforms

artificial neural network and theory of evidence for recognizing and identifying power quality disturbance waveforms.Unlike past techniques shere the identification is performed in time domain using and individual neural entworks

the scheme proposed in the paper is carried out in the wavelate domain using aset of multiple neural networks.At last

the outcomes are integrated using Dempster-Shafer theory of evidence.Then a degree of belief for the identified disturbance waveform os provided by the classifier.