NDLI: Application of wavelet-base method and DT in detection of ferroresonance from other transient phenomena

Content Provider	IEEE Xplore Digital Library
Author	Beheshtaein, S.
Copyright Year	2012
Description	Author affiliation: Department of electrical and computer engineering, Shiraz University, Shiraz, Iran (Beheshtaein, S.)
Abstract	Fast and accurate method for detection of ferroresonance is desirable property for improving power quality. This paper presents novel technique to discriminate ferroresonance from other transients such as capacitor switching, load switching and transformer switching. The proposed approach is carried out at 4 serial stages. Firstly collecting primary signals. Secondly wavelet is used for decomposition of signals. Thirdly features exert on each wavelet coefficient. Fourthly select features, which have prominent effect on classification. Experimental results indicate that the proposed classifier with its own feature has more high classification accuracy with regard to the other approaches in the literature for this problem due to both computation time and accuracy.
Starting Page	1
Ending Page	7
File Size	5727005
Page Count	7
File Format	PDF
ISBN	9781467314466
e-ISBN	9781467314480
DOI	10.1109/INISTA.2012.6247008
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Wavelet EMTP program Switches Feature extraction Ferroresonance Circuit faults Transient analysis Multi-resolution analysis (MRA) Decision tree (DT) Multiresolution analysis
Content Type	Text
Resource Type	Article

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