基于小波与小波包的变速器故障特征提取


Autoria(s): 董彦辉; 陈书宏; 尚文利; 张勤照
Data(s)

2009

Resumo

本文结合自适应小波变换滤波去噪方法与小波阈值去噪方法,提出了一种可用于变速器故障振动信号去噪的双层滤波去噪算法。该算法的滤波过程分为两层,第一层滤波采用自适应小波变换滤波算法;第二层滤波采用经典的小波阈值去噪算法对信号进行二次去噪。最后,将去噪后的故障信号采用小波包进行了分解,并提取了小波包频带能量作为故障特征向量。

In this paper,a double filtering algorithm is proposed for de-noising of malfunction gearbox vibration signal,which is pro-duced by combining adaptive wavelet transform de-noising and wavelet De-noising by threshold.The de-noising process of this algo-rithm consist of two phases,at first phase,de-noising is implemented by adaptive wavelet transform.At the second phase,the clas-sical wavelet de -noising algorithm by threshold is used for the signal de -noising.At last,the de -noised signal is decomposed by wavelet package.The power of frequency bands is extracted as fault feature vector.

Identificador

http://ir.sia.ac.cn//handle/173321/6077

http://www.irgrid.ac.cn/handle/1471x/173183

Idioma(s)

中文

Palavras-Chave #双层滤波 #特征提取 #小波 #小波包
Tipo

期刊论文