摘要
故障特征参数的准确提取是故障诊断的一个关键性问题。提出了一种基于卷积型小波包能量矩的特征提取方法。相比传统的小波包能量特征提取方法,基于卷积型小波包能量矩的特征提取方法能更有效地提取信号在各频带上的能量分布特征。仿真和实验验证了利用小波包能量矩进行故障诊断是一个有效的方法。
Extracting fault feature is a key of the fault diagnosis. An improved feature extraction method based on wavelet packet energy moment is presented. Compared with feature extraction method based on wavelet packet energy （WPE）, the new method can better extract energy distribution feature in frequency bands. Simulation results and experiments show that it is an effective method for the fault diagnosis.
出处
《煤矿机械》
北大核心
2008年第11期198-200,共3页
Coal Mine Machinery
关键词
卷积型小波包变换
小波包能量矩
特征提取
wavelet packet transformation convolution type
wavelet packet energy reorient
feature extraction
