摘要
基坑钢支撑轴力计由于受测试环境、测试装置的变化和测试人员的主观因素等的影响,所测得的信号不可避免地会引入噪声和含有异常值。可将钢支撑轴力计测量数据看作不同频率成分组成的数字信号序列,采用小波分析对其进行处理。利用小波变换对轴力计的监测数据进行消噪处理和异常值检测,并用某工程现场实测轴力计数据进行了验证,结果表明:小波分析在消除噪声和检测异常值是有效的。
Due to the change of measure environment, measure equipment and subjective of measure person, the measure signal of foundation steel braces contains noise inevitably and has some outliers. The measured signal is a time series made up of different frequency, and was processed by wavelet analysis. Denoising analysis and outliers detecting of the measured signal is performed using wavelet analysis, and proved by a specific project. The result indicated that this method is effictive for denois ing analysis and outliers detecting
出处
《岩土工程技术》
2013年第3期154-157,共4页
Geotechnical Engineering Technique
关键词
小波分析
钢支撑轴力
去噪分析
异常值检测
wavelet analysis
axial force of steel braces
denoising analysis
outliers detecting
