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- W2895903189 abstract "The paper present the classification technique of different types of Partial Discharge sources using Rough Set Theory aided Cross Wavelet Spectrum based methodology. Three different voids namely cylindrical, cubical and spherical voids are taken as impurity inside the solid insulating material. The equivalent circuits for cylindrical, cubical and spherical voids have been modeled by using EMTP (Electromagnetic transient programming) software. The appropriate values of different parameters have been derived for simulation model. Experimental model is supplied from sinusoidal voltage source and accordingly different PD (Partial Discharge) data has been acquired. Cross Wavelet Transform based feature extraction technique has been used to reject noise from acquired PD signal. Classification of different PD source has been done using Rough Set Theory. Result shows that the proposed methodology can classify different types of PD sources with reasonably good accuracy." @default.
- W2895903189 created "2018-10-26" @default.
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- W2895903189 date "2017-12-01" @default.
- W2895903189 modified "2023-09-23" @default.
- W2895903189 title "Rough Set Theory Based Classification of Different Partial Discharge Sources Using Cross Wavelet Spectrum" @default.
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- W2895903189 doi "https://doi.org/10.1109/indicon.2017.8487777" @default.
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