母小波在混合输电系统故障分类中的比较

J. Klomjit, A. Ngaopitakkul, B. Sreewirote
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引用次数: 8

摘要

本文提出了用于混合输电系统故障分类的比较母小波。混合系统由115千伏架空线和地下电缆组成。使用ATP/EMTP软件生成故障信号。然后对断层位置、断层类型和断层角度进行了分析。利用MATLAB软件对电流信号和零序列进行离散小波变换(DWT)分析。小波变换从故障信号中分解高频分量。尺度1的系数由多小波(db)、双正交小波(sym)、双正交小波(bior)和双正交小波(coiflet)等母小波分解而成。任何母小波的系数都具有相同的行为,但值不同。设计故障分类算法,并对结果进行比较。因此,比较母小波对提高故障分类精度具有重要意义。Daubechies (db)比任何母小波都更精确。
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Comparison of mother wavelet for classification fault on hybrid transmission line systems
This paper proposes comparison mother wavelets for fault classification on hybrid transmission line systems. Hybrid system consists of overhead line and underground cable of 115 kV. ATP/EMTP software has been used for generating fault signals. Then it varies location of fault, fault type and angle. Current signals and zero sequence are analyzed by Discrete Wavelet Transform (DWT) in MATLAB software. DWT decomposes high frequency components from fault signals. Coefficient in scale 1 has been decomposed from Mother Wavelets such as Daubechies (db), Symlets (sym), Biorthogonal (bior) and Coiflets (coif). The coefficient for any mother wavelet has same behavior but different value. Design algorithm for fault classification and compare the result. Therefore, comparison of mother wavelet for fault classification is important to provide the high accuracy. Daubechies (db) can give accuracy more than any mother wavelet.
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