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Power Quality Disturbance Recognition Using Wavelet-Based Neural Networks

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2 Author(s)
Kaewarsa, S. ; Sch. of Electr. Eng., Rajamangala Univ. of Technol. Isan, Sakon Nakhon ; Attakitmongcol, K.

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 classier can detect and classify different power quality disturbance types efficiency.

Published in:

TENCON 2005 2005 IEEE Region 10

Date of Conference:

21-24 Nov. 2005