期刊论文

Study on Detection Signal De-noising for Shearing-type Track Scale Based on Hilbert-Huang Transform

中文

机床与液压

1001-3881

2011

39

13

26-28+32

10.3969/j.issn.1001-3881.2011.13.008

湖南省高等学校科学研究项目（10C1310） 中南林业科技大学重点青年科学研究基金项目（2009008A）

本校为第一机构

剪力称重轨动态计量检测过程中，不可避免地受到各种噪声的干扰，这些噪声严重影响高速车辆实时、动态的称重结果。通过传统的傅立叶变换和低通滤波，很难将这些干扰剔除。针对这种情况，提出基于希尔伯特-黄变换原理的信号去噪方法。该方法通过经验模式分解对信号进行4层分解，得到3个固有模态函数和残余相，基于给定阈值规则，提取最大尺度的逼近模态和残余相作为滤波结果。实验结果表明：采用该方法能够在复杂噪声中准确提取有用的称重信号，极大提高了称重轨的动态计量精度，省去了繁琐的滤波器参数调整。

There are inevitably all kinds of noises in weighing process for shearing-type track scale. Its seriously affect real-time and dynamic weighting results of high-speed vehicles. Based on traditional Fourier transform and low-pass filter method, these noises can hardly be deleted. According to this situation, Hilbert-Huang filtering method was proposed for signal de-noising. The signal was decomposed into four layers based on experience mode decomposition algorithm. Three IMF and RE were obtained. Based on given threshold rule, the last one and RE were taken as filter results. The experimental r...