DocumentCode :
2911616
Title :
Voltage Waveform Pattern Selection for Power Quality Event Classification
Author :
Gerek, Ö Nezih ; Ece, D. Gökhan ; Barkana, Atalay
Author_Institution :
Anadolu Univ., Eskisehir
fYear :
2007
fDate :
1-3 May 2007
Firstpage :
1
Lastpage :
5
Abstract :
Selection of useful and appropriate identifiers plays an important role in most detection and classification problems including the analysis of voltage waveform for power quality (PQ). In this case, the identifiers are extracted from the acquired voltage waveform. Using such identifiers, several classification algorithms may be applied in order to classify the event type. Statistical, spectral, or directly time domain data can be used as signature identifiers of the voltage waveform. In this work, a method is proposed to select a better set of feature vector elements that are more suitable for classification of PQ events, among a larger set of feature vector elements obtained from numerous methods. For this purpose, a novel covariance based common vector approach (CVA) is proposed. This approach enables a successful PQ event classification, and, at the same time, provides critical information about which of the identifiers within the parameter vector space are more efficient in the classification process. By retaining the more efficient parameters and discarding the rather useless ones, the obtained feature set is small in dimension and efficient in classification.
Keywords :
power supply quality; power system measurement; covariance based common vector approach; feature vector elements; identifiers; power quality event classification; power system disturbances; time domain data; voltage waveform pattern selection; Algorithm design and analysis; Classification algorithms; Data mining; Electronic mail; Event detection; Instrumentation and measurement; Power engineering and energy; Power quality; Voltage fluctuations; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE
Conference_Location :
Warsaw
ISSN :
1091-5281
Print_ISBN :
1-4244-0588-2
Type :
conf
DOI :
10.1109/IMTC.2007.379242
Filename :
4258259
Link To Document :
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