NDLI: A self-organizing learning array system for power quality classification based on wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	He, H. Starzyk, J.A.
Copyright Year	1986
Abstract	This paper proposed a novel approach for the Power Quality (PQ) disturbances classification based on the wavelet transform and self organizing learning array (SOLAR) system. Wavelet transform is utilized to extract feature vectors for various PQ disturbances based on the multiresolution analysis (MRA). These feature vectors then are applied to a SOLAR system for training and testing. SOLAR has three advantageous over a typical neural network: data driven learning, local interconnections and entropy based self-organization. Several typical PQ disturbances are taken into consideration in this paper. Comparison research between the proposed method, the support vector machine (SVM) method and existing literature reports show that the proposed method can provide accurate classification results. By the hypothesis test of the averages, it is shown that there is no statistically significant difference in performance of the proposed method for PQ classification when different wavelets are chosen. This means one can choose the wavelet with short wavelet filter length to achieve good classification results as well as small computational cost. Gaussian white noise is considered and the Monte Carlo method is used to simulate the performance of the proposed method in different noise conditions.
Sponsorship	IEEE Power Engineering Society
Starting Page	286
Ending Page	295
Page Count	10
File Size	948829
File Format	PDF
ISSN	08858977
Volume Number	21
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power quality Wavelet transforms Multiresolution analysis Support vector machines Support vector machine classification Organizing Wavelet analysis Data mining Feature extraction Solar system wavelet transform Noise power quality (PQ) self-organizing learning array (SOLAR) support vector machine (SVM)
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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