DocumentCode :
1174362
Title :
Power Disturbance Classifier Using a Rule-Based Method and Wavelet Packet-Based Hidden Markov Model
Author :
Chung, Jaeyong ; Powers, E. J. ; Grady, W. M. ; Bhatt, S. C.
Author_Institution :
The University of Texas at Austin; EPRI
Volume :
21
Issue :
11
fYear :
2001
Firstpage :
63
Lastpage :
64
Abstract :
This article presents a novel classification method for power distribution line disturbances using a rule-based method and a wavelet packet-based hidden Markov model. The rule-based method is utilized for the classification of time-characterized-feature disturbances, and the wavelet packet-based hidden Markov model is utilized for the frequency characterized feature power disturbances. This proposed method classifies six types of actual recorded power distribution disturbances, i.e., sag, interruption, fast capacitor switching, capacitor switching, normal variation, and impulse disturbance, and obtains 98.7% correct classification rate for 670 actual disturbance events tested.
Keywords :
Conductors; Fault location; Heuristic algorithms; Hidden Markov models; Power engineering; Power measurement; Power system restoration; Signal processing algorithms; Tracking loops; Wavelet packets; Classifier; hidden Markov model; power disturbances; wavelet packet;
fLanguage :
English
Journal_Title :
Power Engineering Review, IEEE
Publisher :
ieee
ISSN :
0272-1724
Type :
jour
DOI :
10.1109/MPER.2001.4311191
Filename :
4311191
Link To Document :
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