作　　者： ; ; ; ;

机构地区： 东南大学机械工程学院设备监控与故障诊断研究所

出　　处： 《振动．测试与诊断》 2005年第1期48-50,共3页

摘　　要： 论述了门限小波变换的四阶累积量在微弱信号特征提取中的功能、实现和应用条件。比较了连续小波变换(CWT)、短时傅里叶变换(STFT)、维格纳-威利(WVD)利用高阶累积量和没有利用高阶累积量情况下,提取微弱信号特征的特性。仿真表明。 This paper describes the feature extraction of weak transient signal corrupted by heavy additive noise in machine fault diagnosing. A new method is proposed to solve the problem and how it is realized as well as its application condition. A comparison is conducted between the forth cumulant of the threshold of CWT(Continuous Wavelet Transform)and other methods based on CWT, WVD(Wigner-Ville Distribution) and STFT(Short Time Fourier Transform)with or without cumulant analysis. The result shows that the combination of Higher Order Cumulant and CWT offers a significantly better detection probability in poor signal-to-noise ratio scenarios.

关 键 词： 高阶谱 小波变换 故障诊断 信号处理 时频分析

领　　域： [电子电信] [电子电信] [机械工程]