Study on de-noising to the signal of torque sensor in electric power steering system using wavelet transform

被引：0

作者：

Zhang, WT ^{[1
]}

Chen, WZ ^{[1
]}

Wang, YJ ^{[1
]}

机构：

[1] Jilin Univ, Inst Commun Engn, Changchun, Jilin Province, Peoples R China

来源：

ICIA 2004: Proceedings of 2004 International Conference on Information Acquisition | 2004年

关键词：

signal of torque sensor; wavelet transform; de-noising;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the characteristics that the signal of torque sensor both have electromagnetic noise of engine and impact signal of road surface, by changing thresholding on the different scales, we present an algorithm that wavelet transform coefficients of noise are filtered and impact signal of road surface are reserved, and reconstruct the torque signal in order to enhance signal-to-noise ratio (SNR) and make the torque signal present enough information of road surface. The experimental results derive from the bench test show that the method is more effective.

引用

页码：275 / 277

页数：3

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