Wavelet-based neural network approach to power quality disturbance recognition

This paper proposes a wavelet-based neural network classifier for recognizing power quality disturbances is implemented and tested under various transient events. The discrete wavelet transform technique is integrated with multiple neural networks using a learning vector quantization network as a powerful classifier. Various transient events are tested, the results show that the classifier can detect and classify different power quality disturbance types efficiency