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Study on Time-varying Effects of Monitoring Data for Dam Based on the Wavelet and EMD

机译:基于小波和EMD的水坝监测数据的时变效应研究

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The combined method of wavelet and EMD is used to analyze the time-varying effect of the dam monitoring data. According to some projects, it can be concluded that the curve shapes of the time-varying effect components of the dam safety monitoring data separated by the different wavelet bases are inconsistent; The smoothness of the form of the monitoring data denoising by the wavelet are different, while the forms of the time effect trend components of are more consistent and are more similar to the practical ones, when the dam safety monitoring data denoising have separated by the EMD; The wavelet denoising has reduced the decomposition layers of the dam safety monitoring data and the accumulative end errors on later decomposition. This method improves a lot in the precision of the separation of the time-varying effect components of the dam safety monitoring data, providing more direct analysis and effective support for the state's assessment of the working dam.
机译:小波和EMD的组合方法用于分析大坝监测数据的时变效果。根据一些项目,可以得出结论,由不同小波碱分开的大坝安全监测数据的时变效果组件的曲线形状不一致;由小波的监测数据形式的平滑度不同,而当大坝安全监测数据去噪由EMD分开时,更加一致的时间效应趋势分量的形式更加一致,更像是实际的。 ;小波去噪已经降低了大坝安全监测数据的分解层和后来分解上的累积最终误差。这种方法在分离大坝安全监测数据的时变效果组件的分离的精度中提高了大量的精确性,为该州对工作大坝的评估提供了更直接的分析和有效支持。

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