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基于小波变换的汽车振动信号去噪分析
引用本文:姜永胜,王其东.基于小波变换的汽车振动信号去噪分析[J].汽车科技,2006(4):23-25.
作者姓名:姜永胜  王其东
作者单位:1. 合肥工业大学,机械与汽车工程学院,合肥,230009;安徽江淮汽车有限公司,合肥,230022
2. 合肥工业大学,机械与汽车工程学院,合肥,230009
摘    要:从小波变换的理论背景出发,介绍了利用小波变换对信号进行分解的原理。并针对汽车振动信号的非平稳性特点,对驾驶员座椅振动信号用dB4小波进行了多分辨分析和小波包分析,并运用Matlab中的WaveletToolbox对其进行去噪处理,取得了明显的效果。通过与Fourier去噪的比较,可以看出小波变换在汽车振动信号去噪中有着Fourier分析无可比拟的优点。

关 键 词:汽车振动  多分辨分析  小波包分析  去噪
文章编号:1005-2550(2006)04-0023-03
收稿时间:2005-09-15
修稿时间:2005年9月15日

De-noising Analysis of Automobile Vibration Signal Based on Wavelet Transform
JIANG Yong-sheng,WANG Qi-dong.De-noising Analysis of Automobile Vibration Signal Based on Wavelet Transform[J].Automobile Science and Technology,2006(4):23-25.
Authors:JIANG Yong-sheng  WANG Qi-dong
Institution:1.Hefei University of Technology, Hefei 230009,China; 2.Anhui Jianghuai Automobile Co., Ltd., Hefei 230022,China
Abstract:the theory of decomposing the signal with wavelet transform is introduced based on the fundamental principle of wavelet transform.Aimed at the nonstationary character of automobile vibration signal,Multi-resolution Analysis and Wavelet Packet Analysis are adopted to analyze the vibration signal of driver seat with the dB4 wavelet.It has obtained obvious effect through the de-noising computation with the Wavelet Toolbox of Matlab.Compared with FFT de-noising,it shows that the wavelet transform has advantage over the Fourier Analysis.
Keywords:automobile vibration  multi-resolution analysis  wavelet packet analysis  de-noising
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