基于MATLAB和小波变换的电力机车谐波电流分析

Harmonic analysis based on MATLAB and wavelet transform for electrical locomotive

介绍了基于小波变换的谐波检测方法,应用小波变换良好的时频局部化特性对电力机车牵引负荷进行谐波检测。以SS4G型电力机车为研究对象,利用最小描述长度准则确定了分析谐波的最佳小波函数,在MATLAB环境下进行小波算法编程。仿真结果表明:小波变换能快速准确地将信号中的基波和不同频率的谐波信号分解出来,实现谐波检测。

The harmonic detection based on wavelet transform is introduced and the better performance of its time-frequency localization is applied to detect the harmonies of electrical locomotive traction load. The MDL（Minimum Description Length） principle is used to determine the best wavelet function for SS4c-type electrical locomotive and the wavelet algorithm is programmed based on MATLAB. Simulative results demonstrate that wavelet transform detects the fundamental and different harmonics of signal accurately and quickly.