A New On-line Filtering Method Based on Improved EMD Algorithm

doi:10.3969/j.issn.1000-1093.2016.05.022

Abstract

Abstract: The normal digital filter cannot achieve a good filtering result since the characteristics of electro-hydraulic servo system makes the frequency of noise signal close to the frequency of useful signal. The empirical mode decomposition algorithm is improved to remove these noise signals exactly from data. The definition of extreme points is extended, a judging formula of envelope interpolation is given, and a new decomposition end judgment condition is added. The improved EMD method has better effect and decomposition efficiency on the signal from electro hydraulic servo system. It can meet the real-time filtering requirements. This new filter based on improved EMD method is used in electro-hydraulic servo system, and the normal digital filter is compared with the original EMD method. The test results show that this new filter has a good application effect and less consuming time.

Key words: hydraulic power transmission and control, real-time filtering, real-time analysis, empirical mode decomposition, electro-hydraulic servo system

CLC Number:

TP206

HUANG Jing, LI Chang-chun, YAN Hao, YANG Xue-song, LI Jing. A New On-line Filtering Method Based on Improved EMD Algorithm[J]. Acta Armamentarii, 2016, 37(5): 929-935.

References

［1］ 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，1998，454：903-995．
［2］ Sobieski I P，Kroo I M．Collaborative optimization using response surface estimation［J］．AIAA Journal，2000,38(10)：1931-1938．
［3］王曙光, 曾向阳, 王征, 等. 水下目标的Gammatone子带降噪和希尔伯特-黄变换特征提取［J］. 兵工学报, 2015, 36(9):1704-1709.
WANG Shu-guang, ZENG Xiang-yang, WANG Zheng, et al. Gammatone subband denoising and HHT-based feature extraction for underwater targets［J］. Acta Armamentarii, 2015, 36(9): 1704-1709.(in Chinese)
［4］李长兵, 袁东, 马晓军, 等. 高速机动条件下坦克火炮系统扰动力矩谱研究［J］. 兵工学报, 2015, 36(4):582-589.
LI Chang-bing, YUAN Dong, MA Xiao-jun, et al. Research on disturbance moment spectrum of tank gun system under high maneuvering conditions［J］. Acta Armamentarii, 2015, 36(4): 582-589. (in Chinese)
［5］ Li P B， Kothari V，Terry B S. Processing and analysis of small intestine pressure signal based on empirical mode decomposition ［J］. Journal of Medical Devices, 2015,19(1):45-62.
［6］ Tang Y W, Lin Y D. L2-EMD filter design for photoplethysmography signal［J］. Applied Mechanics & Materials, 2014, 479/480: 486-490.
［7］ Park M， Kim D， Oh H S．A reinterpretation of EMD by cubic spline interpolation［J］. Advances in Adaptive Data Analysis, 2012, 3(4):527-540.
［8］贺智, 王强, 沈毅,等. 希尔伯特-黄变换端点效应抑制算法综述［J］. 软件, 2011, 32(10):1-7．
HE Zhi,WANG Qiang,SHEN Yi,et al．Survey on end effects mitigation of Hilbert-Huang transform［J］. Software, 2011,32(10):1-7． (in Chinese)
［9］郭明威, 倪世宏, 朱家海,等. 振动信号中HHT/EMD端点延拓方法研究［J］. 振动与冲击, 2012, 31(8):62-66．
GUO Ming-wei，NI Shi-hong，ZHU Jia-hai，et al．HHT/EMD end extension method in vibration signal analysis［J］．Journal of Vibration and Shock, 2012, 31(8):62-66．(in Chinese)
［10］ Dtig M, Schlurmann T. Performance and limitations of the Hilbert-Huang transformation (HHT) with an application to irregular water waves［J］. Ocean Engineering, 2004, 31(S14/S15):1783-1834.
［11］ Rilling G, Flandrin P, Goncalves P. On empirical mode decomposition and its algorithms［C］∥Proceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing. Grado, Italy: IEEE, 2003．
［12］王林鸿，吴波，杜润生，等．液压缸运动的非线性动态特征［J］．机械工程学报，2007，43(12)：12-19．
WANG Lin-hong, WU Bo, DU Run-sheng, et al．Nonlinear dynamic characteristics of moving hydraulic cylinder{J］.Journal of Mechanical Engineering, 2007,43(12):12-19．(in Chinese)
［13］李卿，张国平，刘洋．Hilbert -Huang 变换及其滤波特性研究［J］．华中师范大学学报:自然科学版，2009，43（2）：235-238．
LI Qing, ZHANG Guo-ping, LIU Yang．A study of Hilbert-Huang transform and its filtering character ［J］. Journal of Central China Normal University: Natural Sciences,2009,43(2):235-238．(in Chinese)

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