文件名称:41
介绍说明－－下载内容均来自于网络，请自行研究使用
基于小波包的信号瞬态成分检测与提取方法及其应用,提出基于小波包分解特征表示和瞬态特征重
建方法并应用于汽车变速器齿轮的故障诊断,结果表明基于小波包分解的信号特征表示方法能有效检测信号中瞬
态成分的存在,瞬态成分的重建结果有效地表示了齿轮的故障状态。
-The detection and extraction of signal transients through wavelet packets decomposition are
studied and signal transient feature representation and extraction methods are proposed for automotive transmis-
sion gear fault diagnosis. The results show that the feature representation based on wavelet packets transform is
建方法并应用于汽车变速器齿轮的故障诊断,结果表明基于小波包分解的信号特征表示方法能有效检测信号中瞬
态成分的存在,瞬态成分的重建结果有效地表示了齿轮的故障状态。
-The detection and extraction of signal transients through wavelet packets decomposition are
studied and signal transient feature representation and extraction methods are proposed for automotive transmis-
sion gear fault diagnosis. The results show that the feature representation based on wavelet packets transform is
(系统自动生成,下载前可以参看下载内容)
下载文件列表
瞬态成分提取在变速器齿轮故障诊断中的应用.caj