Study on Faulty Phase Selection Based on the Wavelet Power Spectrum Entropy and LIBSVM
Information Science and Engineering（2012）
Abstract
Fault phase selection is studied in this paper based on the wavelet power spectrum entropy and LIBSVM for transmission line. First, MATLAB is used to simulate five fault types and obtain a variety of fault voltage waveforms. Second, the simulation waveform is transformed to extract the energy spectrum entropy which is pretreatment to greatly reduce the number of data dimensions and effectively optimize the input data of LIBSVM. Finally, LIBSVM is used to select fault phase, experimental results show that the method is very effective.
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Key words
faulty phase selection,power transmission lines,matlab,fault phase selection,energy spectrum entropy,voltage traveling wave,data dimension number reduction,libsvm input data optimization,wavelet transforms,input data,libsvm,wavelet power spectrum entropy,power transmission faults,fault phase,simulation waveform,mathematics computing,library for support vector machines,fault voltage waveforms,power engineering computing,data dimension,transmission line,energy spectrum entropy extraction,fault type,support vector machines,fault voltage waveform
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