摘要
提出了余弦小波、半余弦小波、优余弦小波和拟余弦小波及其变换。这 4种新的小波函数和小波变换除具有非常好的时域和频域局部化特性外 ,还具有频率选择和频率跟踪能力强等特点 ,它们克服了傅里叶变换以及其他一些小波变换的不足 ,因而较适用于电力系统故障信号处理和分析 。
In this paper, four new types of wavelet constructed by cosine function are presented. They are cosine wavelet, semi-cosine wavelet, high-cosine wavelet and quasi-cosine wavelet. As compared with Fourier and other wavelet transforms, they not only have better time-frequency localization, but also have good ability of frequency selection and frequency tracking in signal processing. Simulation results of applying them to generator stator fault detection have verified the above conclusion. This project is supported by National Natural Science Foundation of China (No. 50077008) and Natural Science Foundation of Guangdong Province (No. 980608).
出处
《电力系统自动化》
EI
CSCD
北大核心
2001年第1期50-54,共5页
Automation of Electric Power Systems
基金
国家自然科学基金! (5 0 0 770 0 8)
广东省自然科学基金!(980 6 0 8)
关键词
小波变换
发电机
故障信号分析
电力系统
Computer simulation
Electric fault currents
Electric power systems
Electric signs
Signal processing
Wavelet transforms
