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小波分析在大坝安全监测数据噪声处理中的应用
引用本文:袁晓峰,施劲松,黄高峰.小波分析在大坝安全监测数据噪声处理中的应用[J].科技广场,2009(3).
作者姓名:袁晓峰  施劲松  黄高峰
作者单位:1. 江西蓝天学院土木系,江西,南昌,330098
2. 广东火电工程总公司,广东,广州,523700
3. 水利部淮委沂沐泗局骆马湖水利管理局,江苏,宿迁,223800
摘    要:大坝安全监测数据可以视为通常意义下的时序信号,通过对其进行小波变换分析可有效地进行信噪分离.小波去噪的基本方法有模极大值去嗓、基于各尺度下小波系数相关性进行去噪、阈值去噪、平移不变量小波去噪等方法,本文研究了基干Matlab中小波去噪具体算法并写出了计算程序.实例分析表明.小波分析去嗓能够有效地识别监测数据的噪声,具有操作简单、不失真等优点.

关 键 词:大坝安全监测  小波分析  噪声处理

The Application of Wavelets Analysis on Data Denoising of Dam Safety Monitoring
Yuan Xiaofeng,Shi Jinsong,Buang Gaofeng.The Application of Wavelets Analysis on Data Denoising of Dam Safety Monitoring[J].Science Mosaic,2009(3).
Authors:Yuan Xiaofeng  Shi Jinsong  Buang Gaofeng
Institution:1.Department of Construction Engineering;Jiangxi Blue Sky University;Jiangxi Nanchang 330098;2.Guangdong Power Engineering COR P.;Guangdong Guangzhou 5237003;3.The Water Conservancy Administration of the Luoma Lake Basin;Jiangsu Suqian 223800
Abstract:The dam monitoring datas can be treated as a time series in a common sense,through wavelets analysis the datas can effectively separate signal and noise.The basic methods of wavelets analysis denoising have modulus maxima denoise,the denoising based on the correlation of different scale wavelet coefficient,threshold denoising and translation constant wavelets denoising.This paper researched specific algorithm of wavelet denoising and wrote a computer program based on the Matlab software.Examples show that t...
Keywords:Dam Safety Monitoring  Wavelets Analysis  Noise Disposal  
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