油液磨粒超声回波信号的双树复小波去噪研究

李一宁; 张培林; 徐超; 张云强

doi:10.13433/j.cnki.1003-8728.2015.0215

油液磨粒超声回波信号的双树复小波去噪研究

doi: 10.13433/j.cnki.1003-8728.2015.0215

1.
军械工程学院, 石家庄 050003

基金项目:

国家自然科学基金项目（50705097，51305454）与清华大学摩擦学国家重点实验室开放基金项目（SKLTKF09B06）资助

详细信息

作者简介:
李一宁（1989-），硕士研究生，研究方向为超声信号处理、在线监测与故障诊断，liyiningoec@163.com

通讯作者:
张培林，教授，博士生导师，zpl1955@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2013-08-11
- 刊出日期: 2015-02-05

Study on the De-noising of Ultrasonic Echo Signal for Oil Wear Debris Using the Dual-tree Complex Wavelet Transform

1.
Ordnance Engineering College, Shijiazhuang 050003

摘要

摘要: 超声回波信号反映了润滑油中磨粒的大量信息。为了提取淹没在强噪声环境下的超声回波信号，提出了一种基于双树复小波变换（DT-CWT）的油液磨粒超声散射回波信号去噪新方法。利用双树复小波变换具有近似平移不变性和有效去噪等优点，首先对超声散射回波信号进行双树复小波分解，然后对分解得到的高频系数进行阈值处理，最后进行双树复小波重构。结果表明：分解层数为6层时，去噪后信号的信噪比更高、均方误差更小、相似系数更大、幅值最大偏差更小。双树复小波变换硬阈值去噪效果比传统小波去噪效果明显好。
- 双树复小波变换 /
- 超声回波信号 /
- 分解层数 /
- 去噪 /
- 油液磨粒
Abstract: The ultrasonic echo signal reflecting the debris lubricant contains a lots of information. In order to extract the ultrasonic echo signal submerged in strong background noise, a new de-noising method of ultrasonic scattering echo signal for oil wear debris based on the Dual-Tree Complex Wavelet Transform (DT-CWT) is proposed. Firstly, for the DT-CWT having the approximate shift-invariant and effective de-noising, the ultrasonic scattering echo signals are decomposed by using the DT-CWT, and then the threshold processing of high frequency coefficients is performed, finally, the signal is reconstructed by using the DT-CWT. The simulated and experimental results show that the SNR of the de-noising signal is higher, the RMSE is smaller, the NCC is higher, and the maximum amplitude difference (MAD) is smaller at a decomposition order of six. The DT-CWT de-noising method by using a hard threshold is more obvious than the traditional wavelet de-noising method.
- computer simulation /
- decomposition order /
- design of experiments /
- de-noising /
- DT-CWT

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参考文献(16)

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