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Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 32-540
Full Name: Geev Mokryani
Position: Lecturer
Age: ON
Sex: Male
Address: Iran- East Azarbaijan- Soofian- Islamic Azad University of Soofian
Country: IRAN
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E-mail address: gmokryani@gmail.com
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Title of the Paper: Wavelet Based Kernel Fisher Classifier For Ferroresonance Identification
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Number of paper pages: 10
Abstract: This paper presents a Wavelet Kernel Fisher Classifier (WKFC) for ferroresonance detection. Using this method Ferroresonance can be discriminate from other transients such as capacitor switching, load switching and transformer switching. Wavelet transform is used for decomposition of signals, feature selection is done by Kernel Principal Component Analysis (KPCA). The Fisher classifier is applied to multiresolution featured KPCA mapped data. Ferroresonance data and other transients were obtained by simulation using EMTP program. Results show that the proposed procedure is efficient in identifying ferroresonance from other events.
Keywords: ferroresonance, Kernel PCA, Wavelet Kernel Fisher Classifier (WKFC), EMTP program, Wavelet transform
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