EEMD在加速度测波技术中的去趋势项应用

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Abstract In order to solve the problem of less precision in wave measurement caused by irregular trend items derived from double integration of acceleration signal in time domain,a method based on ensemble empirical mode decomposition (EEMD) is proposed to reconstruct and remove the low-frequency displacement trend,and retrieving the true displacement signal.According to process a set of observed Z-axis acceleration data from a surface buoys,compared with low-pass sliding filtering method (N=33),the results indicate that displacement signal correction method based on EEMD can effectively get rid of the low-frequency displacement trend item.Furthermore,this algorithm has better adaptability and robustness.

Key words： acceleration numerical integration EEMD trend item wave characteristics

Received: 20 March 2017

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	Articles by authors
	Zhou Fenghua
	Xie Qiang
	Wang Dongxiao

Cite this article:

Zhou Fenghua,Xie Qiang,Wang Dongxiao. A trend application of EEMD in acceleration wave measurement technology[J]. Meteorological Hydrological and Marine Instrument, 2017, 34(2): 77-82.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2017/V34/I2/77

[1]	刘国栋.波浪浮标数据处理方法研究[D],天津:天津大学,2012.
[2]	陈爱国,叶家玮,苏曙,等.舰船波浪运动模拟平台加速度数据检测与处理[J].中国造船,2011,52(3):83-90.
[3]	陈爱国,叶家玮,陈远明.船舶波浪运动检测技术与数据处理[EB/OL].北京:中国科技论文在线[2012-10-17],http://www.paper.edu.cn/index.php/default/releasepaper/content/201210-158.
[4]	LANCE D S.An accelerometer based approach to measuring displacement of a vehicle body[D].Dearborn (Michigan):University of Michigan,2004.
[5]	RIBEIRO J G T,CASTRO J T P,FREIRE J L F.New improvements in the digital double integration filtering method to measure displacements using accelerometers[J].Proceedings of Spie the International Society for Optical Engineering,2001,538-542.
[6]	王济,胡晓.MATLAB在振动信号处理中的应用[M].北京:中国水利水电出版社,2006.
[7]	黄凯明.滑动平均数字滤波参数研究[J].集美大学学报(自然科学版),2006,11(4):381-384.
[8]	王广斌,刘义伦,金晓宏,等.基于最小二乘法原理的趋势项处理及其MATLAB的实现[J].有色设备,2005,(5):4-8.
[9]	李慧浩,许宝杰,左云波,等.基于小波变换和EMD方法提取趋势项对比研究[J].仪器仪表与分析监测,2013,(3):28-30.
[10]	钱莉,徐国平,陈文元,等.基于混合EMD方法的加速度计信号处理[J].传感技术学报,2010,23(11):1605-1609.
[11]	HUANG N E.New method for nonlinear and nonstationary time series analysis:empirical mode decomposition and Hilbert spectral analysis[J].Proceedings of SPIE-The International Society for Optical Engineering,2000,4056:197-209.
[12]	WU Z,HUANG N E.Ensemble empirical mode decomposition:A noise assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1(1):1-41.
[13]	陈为真,汪秉文,胡晓娅.基于时域积分的加速度信号处理[J].华中科技大学学报(自然科学版),2010,38(1):1-4.
[14]	文圣常,余宙文.海浪理论与计算原理[M].北京:科学出版社,1984.