measured displacement time series 观测位移时间序列
displacement time series forecast 位移时间序列预测
time series of displacement 位移时间序列
The time series of displacement monitoring data obtained in Maoping landslide of Qingjiang are analyzed by using macroscopic study of nonlinear dynamics method.
利用非线性动力学的宏观研究方法对清江库岸茅坪滑坡的位移时间序列进行了分析，发现滑坡系统在演变过程中存在混沌。
Thus, the chaotic analytic method is set up for the prediction of the measured displacement time series of rock mass engineering.
据此，建立了岩体工程位移观测数据的混沌预测方法。
Firstly, making the time series continuous through inserting data, and secondly removing the secular displacement rate from the time series data through linear fitness.
首先对时间序列中不连续的数据进行内插处理，并通过线性拟合从时间序列中去掉长期滑动速率的影响。
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