|2/2006 - 6|
Power Signal Disturbance Classification using Wavelet Based Neural NetworkS. SUJA, Jovitha JEROME
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Wavelet Transform, Power Quality Disturbances, Probablistic Neural Network, Mutiresolution Analysis
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About this article
Date of Publication: 2006-10-02
Volume 6, Issue 2, Year 2006, On page(s): 29 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
In this paper, the power signal disturbances are detected using discrete wavelet transform (DWT) and categorized using neural networks. This paper presents a prototype of power quality disturbance recognition system. The prototype contains three main components. First a simulator is used to generate power signal disturbances. The second component is a detector which uses the technique of DWT to detect the power signal disturbances. DWT is used to extract disturbance features in the power signal. The third component is neural network architecture to classify the power signal disturbances.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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