摘要
把小波分析作为数值处理方法,结合小浪底大坝渗流监测数据噪声特点和测值干扰因素,通过小波和小波包两种方法对监测数据进行了有效的降噪处理,同时也可以分离提取出时效分量,直接用于评价大坝当前工作性态。通过对小浪底坝基实测资料的处理,证实了小波包去噪方法的去噪效果要好于小波去噪方法。
The numerical approach based on the wavelet analysis was discussed, combining with the noise characteristics of Xiaolangdi Dam seepage monitoring data and the interference factor of the measured values. The denoising effect to the monitoring data was done by the wavelet and the wavelet packet and the time dependent component was also being decomposed which being used for mastering and evaluating the present work behavior of the dam. The analysis of Xiaolangdi seepage monitoring data shows that the denoising effect of wavelet packet is better than that of wavelet.
出处
《人民黄河》
CAS
北大核心
2013年第2期95-97,共3页
Yellow River
关键词
小波分析
渗流监测
信号降噪
小浪底大坝
wavelet analysis
seepage monitoring
signal noise reduction
Xiaolangdi Dam
作者简介
宋书克（1972-），男，河南南阳人，高级工程师，主要从事大埂安全监测工作。E-mail：songshuke@xiaolangdi．com．cn
