作者：张汉中¹, 肖继学¹, 杨琳², 吴瑞竹¹, 李海军¹, 董圣友¹, 王泽¹, 曾强¹

作者单位：1. 西华大学机械工程与自动化学院, 四川 成都 610039;
2. 四川华川工业有限公司, 四川 成都 610106

关键词：谐波分析; 傅里叶变换; 小波变换; Matlab系统; dmey小波

摘要：

简述傅里叶变换和小波变换的基本原理,在Matlab平台上设计傅里叶变换模块和小波变换模块。针对含有突变干扰、白噪音干扰等常见工程电力信号,通过实验系统研究傅里叶变换、小波变换的频域和时频分析特性。实验结果表明,傅里叶变换能较好地测试出信号的谐波成分,小波变换具有良好的信号频段分析特性。根据这些特点,探讨傅里叶变换、小波变换各自的适用场合,以便高效利用这两种方法分析电力谐波成份,为治理谐波奠定基础。

Research on test performance of power harmonic for methods of Fourier transform and wavelet transform

ZHANG Han-zhong¹, XIAO Ji-xue¹, YANG Lin², WU Rui-zhu¹, LI Hai-jun¹, DONG Sheng-you¹, WANG Ze¹, ZENG Qiang¹

1. Mechanical Engineering and Automation School of Xihua University, Chengdu 610039, China;
2. Sichuan Huachuan Industries Cod., Ltd., Chengdu 610106, China

Abstract: The basic principles of the Fourier transform and wavelet transform are described. Function modules to implement the Fourier transform and wavelet transform are designed. As for common power signal which contains mutant interference, white noise interference, characteristics of the Fourier transform and wavelet transform to analyze the power harmonic in frequency field and in time-frequency field are systematically studied with experiments based on the two function modules. The experimental results show that the Fourier transform can be used to test the power harmonics well and the wavelet transform can be utilized to decompose the power signal into segments in different frequency area. Based on these characteristics, applications of the Fourier transform and wavelet transform are discussed in order to analyze the power harmonic with efficiency, which is the key to harnessing harmonic pollution effectively.

Keywords: harmonic analysis; Fourier transform; wavelet transform; Matlab; dmey wavelet

2014, 40(2): 135-140  收稿日期: 2013-10-20;收到修改稿日期: 2013-12-25

基金项目: 教育部科技重点资助项目(Z2012015);四川省教育厅科技重点资助项目(13ZA0025)

作者简介: 张汉中(1989-),男,广东梅州市人,硕士研究生,专业方向为单片机以及嵌入式研究。

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