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Cites:

Information Journal Paper

Title

CLASSIFICATION OF INRUSH CURRENT, LOAD SWITCHING, CAPACITOR SWITCHING AND SHORT CIRCUIT FAULTS BY USING WAVELET

Pages

  39-43

Abstract

 In this paper trensients data wave obtained by simulation of a real 20kv distribution feeder using EMTP. WAVELET TRANSFORM is used for the decomposition of signals. Feature extraction and principal analysis (PCA) are applied for feature vector reduction, and BAYES CLASSIFIER is used for classification of data. Wavelet coefficients are used for the classification of transients. Results show that the proposed method is efficient for detection of transients.

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  • Cite

    APA: Copy

    SEDIGHI, ALIREZA, & SHIRYAZDI, SHIMA. (2007). CLASSIFICATION OF INRUSH CURRENT, LOAD SWITCHING, CAPACITOR SWITCHING AND SHORT CIRCUIT FAULTS BY USING WAVELET. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 1(2 (2)), 39-43. SID. https://sid.ir/paper/188216/en

    Vancouver: Copy

    SEDIGHI ALIREZA, SHIRYAZDI SHIMA. CLASSIFICATION OF INRUSH CURRENT, LOAD SWITCHING, CAPACITOR SWITCHING AND SHORT CIRCUIT FAULTS BY USING WAVELET. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2007;1(2 (2)):39-43. Available from: https://sid.ir/paper/188216/en

    IEEE: Copy

    ALIREZA SEDIGHI, and SHIMA SHIRYAZDI, “CLASSIFICATION OF INRUSH CURRENT, LOAD SWITCHING, CAPACITOR SWITCHING AND SHORT CIRCUIT FAULTS BY USING WAVELET,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 1, no. 2 (2), pp. 39–43, 2007, [Online]. Available: https://sid.ir/paper/188216/en

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