基于小波变换的扰动信号特征量提取仿真试验研究  

Simulation Experiment Research on Feature Extraction of Disturbance Signals Based on Wavelet Transform

作　　者：翟姝华 ZHAI Shuhua

机构地区：[1]襄阳科技职业学院,湖北襄阳441000

出　　处：《今日自动化》2024年第1期143-146,共4页Automation Today

摘　　要：文章研究了基于小波变换的扰动信号特征量提取方法,设计了一系列的仿真实验.试验结果表明,小波变换能够有效地提取扰动信号的特征量,且其性能优于传统的傅里叶变换方法,对于提高扰动信号特征量提取的准确性和稳定性具有重要的意义.The article studied the feature extraction method of disturbance signals based on wavelet transform and designed a series of simulation experiments.The experimental results show that wavelet transform can effectively extract the feature quantities of disturbance signals,and its performance is better than traditional Fourier transform methods.It is of great significance for improving the accuracy and stability of feature quantity extraction of disturbance signals.

关 键 词：小波变换 扰动信号 特征量提取 仿真试验 

分 类 号：TM711[电气工程—电力系统及自动化]