Study on the Noise Reduction of Tractor Power Take-off Load by Empirical Mode Decomposition Soft-Threshold Method

doi:10.7652/xjtuxb201905010

您当前的位置：

首页 >

文章列表页 >

Study on the Noise Reduction of Tractor Power Take-off Load by Empirical Mode Decomposition Soft-Threshold Method

更新时间：2025-07-09

- Study on the Noise Reduction of Tractor Power Take-off Load by Empirical Mode Decomposition Soft-Threshold Method
- Vol. 53, Issue 5, Pages: 67-72+122(2019)
- 作者机构：
  
  河南科技大学车辆与交通工程学院,河南,洛阳,471003
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201905010
  CLC： S222.3;TN911.72
- Online First：10 May 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
Study on the Noise Reduction of Tractor Power Take-off Load by Empirical Mode Decomposition Soft-Threshold Method[J]. 2019, 53(5): 67-72+122.
DOI：

Study on the Noise Reduction of Tractor Power Take-off Load by Empirical Mode Decomposition Soft-Threshold Method[J]. 2019, 53(5): 67-72+122. DOI： 10.7652/xjtuxb201905010.

摘要

针对拖拉机旋耕作业动力输出轴(PTO)载荷降噪中载荷先验特性预判的问题

提出了PTO载荷经验模态分解(EMD)软阈值降噪方法

得到了PTO载荷相同时域内不同频率固有模态函数(IMF)。利用边界局部特征尺度延拓算法对IMF出现的端点效应进行了抑制

与镜像对称延拓算法和多项式拟合延拓算法比较

在运行时间、正交指数及IMF数量3项评价指标中均占优势。利用IMF分量与载荷相关系数

辨识出前3阶IMF分量为噪声主导分量

对前3阶IMF分量分别进行了软阈值降噪

与剩余分量叠加重构了降噪后的PTO载荷。降噪后的PTO载荷主频为4.492 Hz

与试验中旋耕机刀轴旋转频率相符。与EMD低通滤波降噪算法比较

EMD软阈值降噪算法属于自适应数据驱动

不需要设定截止频率。以含噪信号与噪声误差比(d

nSNR

)为降噪性能评价指标

EMD软阈值降噪算法的d

nSNR

为12.712 5

小于EMD低通滤波降噪算法的d

nSNR

值13.266 6

对比结果表明EMD软阈值降噪算法对实测拖拉机PTO载荷降噪效果明显。

Abstract

Aiming at the prejudgment on prior characteristics of the power take-off(PTO)load measured during tractor rotary tillage

an empirical mode decomposition(EMD)soft-threshold denoising algorithm is proposed. The intrinsic mode functions(IMF)at different frequencies in the same time domain of PTO load are obtained by using EMD. The endpoint effect of IMF is suppressed by the boundary local feature scale extension algorithm. Compared with the mirror symmetric extension algorithm and polynomial fitting extension algorithm

this algorithm is dominant in the three evaluation indexes of running time

orthogonal index and IMF number. By analyzing the correlation coefficient between the IMF components and PTO load

the first three orders of the IMF components are identified as the noise dominant component. Soft-threshold denoising is performed on the first three orders of IMF components

and the denoised PTO load is reconstructed by superposition with the residual components. The denoised PTO load frequency is 4.492 Hz

which is consistent with the rotation frequency of the rotary cutter shaft in the test. Compared with the EMD low-pass filter denoising algorithm

the EMD soft-threshold denoising algorithm belongs to adaptive data driving and does not need to set the cutoff frequency. The noisy signal-to-noise reduction error ratio(d

nSNR

)is used as the denoising performance evaluation index. The d

nSNR

value of the EMD soft-threshold denoising algorithm is 12.712 5

smaller than the d

nSNR

value 13.266 6 by EMD low-pass filtering denoising algorithm. The comparison results show that the EMD soft-threshold denoising algorithm has obvious effect on the noise reduction of tractor PTO load.

关键词

Keywords

references

许春林, 李连豪, 赵大勇, 等. 悬挂农具作业动力学参数田间实时测试系统 [J]. 农业机械学报, 2013, 44(4): 83-88.

XU Chunlin, LI Lianhao, ZHAO Dayong, et al. Field real-time testing system for measuring work dynamic parameters of suspension agricultural implement [J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(4): 83-88.

胡振邦, 许睦旬, 姜歌东, 等. 基于小波降噪和短时傅里叶变换的主轴突加不平衡非平稳信号分析 [J]. 振动与冲击, 2014, 33(5): 20-23.

HU Zhenbang, XU Muxun, JIANG Gedong, et al. Analysis of non-stationary signal of a sudden unbalanced spindle based on wavelet noise reduction and short-time Fourier transformation [J]. Journal of Vibration and Shock, 2014, 33(5): 20-23.

邱白晶. 旋耕机整机随机振动响应分析 [J]. 农业机械学报, 1996, 27(增刊): 25-29.

QIU Baijing. Random vibration response analysis on the rotary tiller [J]. Transactions of the Chinese Society for Agricultural Machinery, 1996, 27(S1): 25-29.

曹青梅, 周志立, 张明柱, 等. 拖拉机驱动轮滑转率估算法与验证 [J]. 农业工程学报, 2015, 31(23): 35-41.

CAO Qingmei, ZHOU Zhili, ZHANG Mingzhu, et al. Algorithm and verification for estimating tractor driving wheel slip rate [J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(23): 35-41.

王霄, 徐俊, 曹秉刚, 等. 小波降噪卡尔曼滤波锂电池荷电状态估计 [J]. 西安交通大学学报, 2017, 51(10): 71-76.

WANG Xiao, XU Jun, CAO Binggang, et al. A Kalman filter SOC estimation method for lithium-ion batteries based on discrete wavelet transform denoising [J]. Journal of Xi'an Jiaotong University, 2017, 51(10): 71-76.

HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proceedings of the Royal Society of London: Series A Mathematical, Physical and Engineering Sciences, 1998, 454: 903-995.

HUANG N E, CHEN X, MEN-TZUNG L O, et al. On Hilbert spectral representation: a true time-frequency representation for nonlinear and no stationary data [J]. Adv Adaptive Data Anal, 2011, 3(1/2): 63-93.

CHUN Z, JUNAN Y, YINGKE L, et al. Single channel blind source separation by combining slope ensemble empirical mode decomposition and independent component analysis [J]. Journal of Computational Information Systems, 2012(8): 3117-3126.

刘东瀛, 邓艾东, 刘振元, 等. 基于EMD与相关系数原理的故障声发射信号降噪研究 [J]. 振动与冲击, 2017, 36(19): 71-77.

LIU Dongying, DENG Aidong, LIU Zhenyuan, et al. De-noising method for fault acoustic emission signals based on the EMD and correlation coefficient [J]. Journal of Vibration and Shock, 2017, 36(19): 71-77.

周小龙, 姜振海, 马风雷. 基于改进HHT能量熵和SVM的滚动轴承故障诊断 [J]. 机械传动, 2016, 40(12): 164-168.

ZHOU Xiaolong, JIANG Zhenhai, MA Fenglei. Fault diagnosis of rolling bearing based on improved HHT energy entropy and SVM [J]. Journal of Mechanical Transmission, 2016, 40(12): 164-168.

张蒙, 朱永利, 张宁, 等. 基于变分模态分解和多尺度排列熵的变压器局部放电信号特征提取 [J]. 华北电力大学学报(自然科学版), 2016, 43(6): 31-37.

ZHANG Meng, ZHU Yongli, ZHANG Ning, et al. Feature extraction of transformer partial discharge signals based on variational mode decomposition and multi-scale permutation entropy [J]. Journal of North China Electric Power University(Natural Science Edition), 2016, 43(6): 31-37.

刘霞, 黄阳, 黄敬, 等. 基于经验模态分解(EMD)的小波熵阈值地震信号去噪 [J]. 吉林大学学报(地球科学版), 2016, 46(1): 262-269.

LIU Xia, HUANG Yang, HUANG Jing, et al. Wavelet entropy threshold seismic signal denoising based on empirical mode decomposition(EMD)[J]. Journal of Jilin University(Earth Science Edition), 2016, 46(1): 262-269.

贾桂锋, 王自唱, 向兴发, 等. 短时经验模态分解实时识别生猪心电QRS波群 [J]. 农业工程学报, 2018, 34(10): 172-177.

JIA Guifeng, WANG Zichang, XIANG Xingfa, et al. Short-time empirical mode decomposition method of real-time QRS complex identifying for electrocardiography of pig [J]. Transactions of the Chinese Society of Agricultural Engineering, 2018, 34(10): 172-177.

FLEUREAU J, KACHENOURA A, ALBERA L, et al. Multivariate empirical mode decomposition and application to multichannel filtering [J]. Signal Processing, 2011, 91(12): 2783-2792.

TANG Baoping, LI Feng, QIN Yi. Fault diagnosis model based on feature compression with orthogonal locality preserving projection [J]. Chinese Journal of Mechanical Engineering, 2011, 24(5): 891-898.

时培明, 蒋金水, 刘彬, 等. 基于边界特征尺度匹配延拓的EMD改进方法及应用 [J]. 中国机械工程, 2014, 25(12): 1616-1623.

SHI Peiming, JIANG Jinshui, LIU Bin, et al. Improved method of EMD and its applications based on boundary characteristic scale matching extension method [J]. Chinese Mechanical Engineering, 2014, 25(12): 1616-1623.

DONOHO D L. De-noising by soft-thresholding [J]. IEEE Transactions on Information Theory, 1995, 41(3): 613-627.

ZHAO J P. Mirror extending and circular spline function for empirical mode decomposition method [J]. Journal of Zhejiang University, 2001, 2(3): 247-252.

李勇, 方兆本, 韦勇凤. 基于局部多项式回归的EMD端点效应抑制 [J]. 中国科学技术大学学报, 2014, 44(9): 786-792.

LI Yong, FANG Zhaoben, WEI Yongfeng. Suppressing end effect of EMD based on local polynomial regression [J]. Journal of University of Science and Technology of China, 2014, 44(9): 786-792.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Feature Representation of Natural Images Based on Contours

Review of the Application of EBSILON Software in Combined Heat and Power System Optimization

Mechanism and Optimal Control Strategy for Hysteresis in Rapid Dehumidification Response of Indirect Thermal Systems in Electric Vehicles

A Structure-Semantics-Residual Collaborative Image Compression Framework：Towards Privacy Protection and High-Fidelity Reconstruction

Numerical Simulation of Heat-Moisture Barrier Performance of a Horizontal Air Curtain in Cold Storage

Related Author

戴芳 1

郑南宁 1

薛建儒 1

Related Institution

Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University

School of Science, Xi'an University of Technology

⁰