摘要
介绍了小波变换的理论背景和在振动信号处理方面的两种应用。文中对机车转向架振动信号用db4小波进行了分解,并运用本文所介绍的算法进行了降噪处理,取得了明显的效果;运用小波包技术建立了机车转向架的振动状态特征向量,较好地表征了机车振动的故障状态。
In this paper, the theory background of wavelet transform and practical algorithm are detailed described, where the soft threshold algorithm is used to get the threshold value that is used to deal with the wavelet coefficients. Finally, in the application aspect,the vibrating signal of locomotive is decomposed by the method of wavelet transform with db4 wavelet and the noise components are removed from the signal according to the algorithm introduced in this paper. It is clear that the wavelet method get a satisfactory result.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2003年第4期115-118,共4页
Journal of the China Railway Society
关键词
铁道机车
振动
监测
小波分析
locomotive
vibration
monitoring
wavelet analysis
