吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 42-49.doi: 10.13229/j.cnki.jdxbgxb201701007

• 论文 • 上一篇    下一篇

履带车辆传动系统动态载荷谱信号去噪

刘海鸥1, 张国鑫1, 席军强1, 张洪彦2, 徐宜2   

  1. 1.北京理工大学 机械与车辆学院,北京 100081;
    2.中国北方车辆研究所 传动技术部,北京 100072
  • 收稿日期:2015-07-23 出版日期:2017-01-20 发布日期:2017-01-20
  • 作者简介:刘海鸥(1975-),女,副教授,博士.研究方向:车辆传动与控制.E-mail:bit_lho@bit.edu.cn
  • 基金资助:
    工业和信息化部国防基础科研项目(3030021221505).

Dynamic load spectrum signal de-noising of tracked vehicle transmission

LIU Hai-ou1, ZHANG Guo-xin1, XI Jun-qiang1, ZHANG Hong-yan2, XU Yi2   

  1. 1.School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;
    2.Department of Vehicle Transmission, China North Vehicle Research Institute, Beijing 100072, China
  • Received:2015-07-23 Online:2017-01-20 Published:2017-01-20

摘要: 为了满足履带车辆传动系统动态载荷谱编制对采集数据准确性的要求,运用功率谱分析方法获取原始采集载荷谱信号的频率分布,确定了有效信号的频域特性。利用小波分析方法,给出了在通用阈值基础上改进的自适应阈值去噪的计算方法。结合实车动态行驶与换挡过程中的传动特性对实测履带车辆载荷谱信号去噪结果进行了分析。研究结果表明:改进的自适应阈值去噪方法能更好地区分不同频段上的有效信号和噪声信号,在保留中、高频载荷谱信号的前提下具有良好的去噪效果。

关键词: 车辆工程, 自适应阈值, 小波分析, 载荷谱信号, 信号去噪

Abstract: In order to satisfy accuracy requirement of testing data for the compiling of dynamic load spectrum of tracked vehicle transmission, the problem of how to deal with the irregular noise, usually existing in the dynamic load spectrum signal, was studied. First, the collected signal is analyzed by power spectrum analysis. The frequency distribution and the characteristics of the load signal were briefly analyzed, and the main distribution range of the useful signal was determined. Then, the wavelet analysis method for dynamic load spectrum signal de-noising was studied, and the calculation method of adaptive threshold developed from universal threshold was presented. Quantificational evaluation based on SNR and MSE, the de-nosing results of typical sine simulation signal with different noise pollution indexes were comparatively analyzed, and the de-noising results of load simulation signal with real noise signal were also comparatively analyzed both using the two methods. Furthermore, combined with the real transmission characteristics in the process of dynamic driving and gear shifting, effective analysis was presented. It shows that the adaptive threshold de-noising method has a better de-noising effect on the premise of keeping useful medium-high frequency dynamic load spectrum signal.

Key words: vehicle engineering, adaptive threshold, wavelet analysis, dynamic load spectrum signal, signal de-noising

中图分类号: 

  • U273.99
[1] Morkus J. Load spectrum of a car powertrain[J]. Journal of Middle European Construction and Design of Cars, 2013, 10(3): 31-38.
[2] Donoho D L. De-noising by soft-thresholding[J]. IEEE Transactions on Information Theory, 1995, 41(3): 613-627.
[3] Berkner K, Raymond O W J. Smoothness estimates for soft-threshold denoising via translation-invariant wavelet transforms[J]. Applied and Computational Harmonic Analysis, 2002, 12(1): 1-24.
[4] Alireza G, Mahdi S S, Ali A H. Localization and de-noising seismic signals on SASW measurement by wavelet transform[J]. Journal of Applied Geophysics, 2013, 98: 124-133.
[5] Min Y, Hui S. SURF threshold de-noising method based on the contourlet wavelet transformation[J]. Journal of Computers (Finland), 2013, 8(11): 2997-3003.
[6] Liu Y, Yu Q S. A method of wavelet-based dual thresholding de-noising for ECG signal[C]∥The 7th International Congress on Image and Signal Processing (CISP), Piscataway, NJ, USA,2014: 1085-1089.
[7] Zhang B, Sun L X, Yu H B, et al. Wavelet denoising method for laser-induced breakdown spectroscopy[J]. Journal of Analytical Atomic Spectrometry, 2013, 28(12):1884-1893.
[8] Hemant T, Rashmi G. 1-D signal denoising using wavelets based optimization of polynomial threshold function[C]∥The 3rd International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), Piscataway, NJ, USA,2014: 1-5.
[9] 李威, 刘宁, 李宁, 等. 齿轮传动系统轮齿啮合过程动载荷谱研究[J]. 农业机械学报, 2012, 43(8): 221-225.
Li Wei, Liu Ning, Li Ning, et al. Dynamic load spectrum of tooth meshing process for gear transmission system[J]. Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(8): 221-225.
[10] 项昌乐. 装甲车辆传动系统动力学[M]. 北京: 国防工业出版社, 2007.
[11] 英格里德·道贝切斯. 小波十讲[M]. 李建平, 译. 北京:国防工业出版社, 2011.
[12] Partha R, Arijit B, Ashok K M. Optimum wavelet bases selection for wavelet based de-noising in partial discharge measurement[C]∥The 2013 IEEE Conference on Information and Communication Technologies (ICT), Thuckalay, Tamil Nadu, India,2013: 1110-1113.
[13] 吕唯唯, 顾亮, 黄雪涛. 小波变换在履带车辆振动信号处理中的应用[J]. 噪声与振动控制, 2012, 8(4):140-144.
Lü Wei-wei, Gu Liang, Huang Xue-tao. Application of wavelet threshold method in processing tracked vehicle vibration signal[J]. Noise and Vibration Control, 2012, 8(4):140-144.
[14] Guo X C, Xu L, Nektarious C, et al. Atmospheric observation data de-noising based on a new wavelet threshold function[C]∥International Conference on Computational Intelligence and Software Engineering, Wuhan, China,2009:1-4.
[15] Bhandari A K, Kumar A, Singh G K, et al. Performance study of evolutionary algorithm for different wavelet filters for satellite image denoising using sub-band adaptive threshold[J]. Journal of Experimental & Theoretical Artificial Intelligence, 2016:28(1/2):71-95.
[16] 阎楚良, 高镇同. 飞机高置信度中值随机疲劳载荷谱的编制原理[J]. 航空学报, 2000, 21(2): 118-123.
Yan Chu-liang, Gao Zhen-tong. Compilation theory of median stochastic fatigue load-spectrum with high confidence level for airplane[J]. Acta Aeronautica et Astronautica Sinica, 2000, 21(2): 118-123.
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