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| 大坝变形数据处理中的离散小波分析方法 | |
| 引用本文： | 陈继光,李光东,刘中波. 大坝变形数据处理中的离散小波分析方法[J]. 水电能源科学, 2003, 21(4): 11-13 |
| 作者姓名： | 陈继光 李光东 刘中波 |
| 作者单位： | 1. 山东大学,土建与水利学院,山东,济南,250061 2. 山东省青州市第一建筑工程有限公司,山东,青州,262500 3. 山东邹平县交通局,山东,邹平,256200 |
| 摘 要： | 介绍应用小波分析理论解决时间序列观测数据的测量误差消除问题，实例证明借助离散小波分解与重构手段，可有效地从误差干扰的观测数据序列中提取大坝变形的原始特征。完成大坝的变形预测，为测量数据的误差消除引入一种有效方法。 |
| 关 键 词： | 大坝观测 时间序列数据 离散小波分析 变形观测 数据处理 变形预测 |
| 文章编号： | 1000-7709(2003)04-0011-03 |
| 修稿时间： | 2003-09-16 |
Wavelet Analysis and Its Applications in Deformation Data of Dam |
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| CHEN Ji guang LI Guang dong LIU Zhong bo. Wavelet Analysis and Its Applications in Deformation Data of Dam[J]. International Journal Hydroelectric Energy, 2003, 21(4): 11-13 | |
| Authors: | CHEN Ji guang LI Guang dong LIU Zhong bo |
| Affiliation: | CHEN Ji guang 1 LI Guang dong 2 LIU Zhong bo 3 |
| Abstract: | The deformation data of dam can be described as a kind of data series relating to time. In this paper a method based on the theory of wavelet analysis was used to reduce error of the dam deformation presented. Practical results show that by using wavelet decomposition and reconstruction this method can efficiently extract weak deformation characteristics from the observed data series having strong noises. |
| Keywords: | dam observation data series relating to time wavelet analysis predication |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |