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Pattern recognition applications for power system disturbance classification | IEEE Journals & Magazine | IEEE Xplore

Pattern recognition applications for power system disturbance classification


Abstract:

This paper presents an automated online disturbance classification technique. This technique is based on wavelet multiresolution analysis and pattern recognition techniqu...Show More

Abstract:

This paper presents an automated online disturbance classification technique. This technique is based on wavelet multiresolution analysis and pattern recognition techniques. The wavelet-multiresolution transform is introduced as a powerful tool for feature extraction in order to classify different disturbances. Minimum Euclidean distance, k-nearest neighbor, and neural network classifiers are used to evaluate the efficiency of the extracted features.
Published in: IEEE Transactions on Power Delivery ( Volume: 17, Issue: 3, July 2002)
Page(s): 677 - 683
Date of Publication: 07 November 2002

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