基于经验模式分解消噪的高层建筑物变形监测数据处理方法
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摘要
经验模式分解方法具有根据信号本身特征进行自适应滤波消噪的功能,基于这一特点将其应用于高层建筑物变形监测数据处理。通过对实际变形监测数据进行分析,表明应用该方法可以取得良好的消噪效果,并可从受强噪声干扰的数据序列中提取出微弱的变形特征信息。
Empirical Mode Decomposition(EMD) method has an advantage of doing adaptive filtering noise cancellation according to characteristics of the signal itself.In the paper,the point EMD method is applied to deformation monitoring data processing for high-rise building.By analyzing practical deformation monitoring data,it is shown that excellent denosing results can be obtained by using EMD method.Besides,this method can efficiently extract weak deformation characteristics information from data series having strong noises.
Empirical Mode Decomposition(EMD) method has an advantage of doing adaptive filtering noise cancellation according to characteristics of the signal itself.In the paper,the point EMD method is applied to deformation monitoring data processing for high-rise building.By analyzing practical deformation monitoring data,it is shown that excellent denosing results can be obtained by using EMD method.Besides,this method can efficiently extract weak deformation characteristics information from data series having strong noises.
引文
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[2]张勤,蒋廷臣,王秀萍.小波变换在变形监测中的应用研究[J].测绘工程,2005,14(1):8-10.ZHANG Qin,JIANG Ting-chen,WANG Xiu-ping.Research on application of wavelet transform to deformation observation[J].Engineering of Surveying and Mapping,2005,14(1):8-10.(in Chinese)
[3]田胜利,周拥军,葛修润.基于小波分解的建筑物变形监测数据处理[J].岩石力学与工程学报,2004,23(15):2639-2642.TIAN Sheng-li,ZHOU Yong-jun,GE Xiu-run.Processing of monitoring data of building deformation based on wavelet transform[J].Chinese Journal of Rock Mechanics and Engineering,2004,23(15):2639-2642.(in Chinese)
[4]田鹏,杨松林,王成龙.基于小波消噪的时序分析改进法在GPS变形监测中的应用[J].测绘科学,2005,30(6):55-57.TIAN Peng,YANG Song-lin,WANG Cheng-long.Application for GPS deformation monitoring of an improved time-seriesanalysis method based on wavelet noise reduction[J].Science of Surveying and Mapping,2005,30(6):55-57.(in Chinese)
[5]Huang N E,Shen Z,Long S R.The empirical mode decomposition and hilbert spectrum for nonlinear and nonstationary timeseries analysis[J].Proceedings of the Royal Society of London SERIESA,1998,454:903-995.
[6]张宬,艾延廷,刘秀芳.基于经验模式分解法的航空发动机振动传感器故障诊断技术研究[J].沈阳航空工业学院学报,2008,25(4):5-8.ZHANG Cheng,AI Yan-ting,LIUXiu-fang.Research on sensor faults diagnosis for aero-engine vibration testing using empiricalmode decomposition method[J].Journal of Shengyang Institue of Aeronautical Engineering,2008,25(4):5-8.(in Chinese)
[7]刘树林,赵海峰,齐波.基于经验模态分解及自相关分析的微弱信号提取方法[J].大庆石油学院学报,2007,31(5):80-84.LIU Shu-lin,ZHAO Hai-feng,QI Bo.Approach to weak signal extraction based on empirical mode decomposition andautocorrelation analysis[J].Journal of Daqing Petroleum Institute,2007,31(5):80-84.(in Chinese)
[8]杨建文,贾民平,许飞云.基于经验模式分解的旋转机械振动信号降噪处理[J].中国工程科学,2005,7(8):66-68.YANG Jian-wen,JIA Min-ping,XU Fei-yun.Noise reduction of vibration signal of cyclic machine based on the EMD[J].Engineering Science,2005,7(8):66-68.(in Chinese)
[9]王坚,张继贤,刘正军.基于经验模态分解的高分辨率影像融合[J].遥感学报,2007,11(1):55-61.WANG Jian,ZHANG Ji-xian,LIU Zheng-jun.High resolution image merging based on EMD[J].Journal of Remote Sensing,2007,11(1):55-61.(in Chinese)
[10]武安绪,吴培稚,徐平,等.经验模态分解、数值仿真与形变信号滤波试验[J].地震,2007,27(3):20-24.WU An-xu,WUPei-zhi,XUPing,et al.Empirical mode decomposition,data emulation and test of deformation signal filtering[J].Earthquake,2007,27(3):20-24.(in Chinese)
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