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介绍分形学理论中的非倾向性振荡分析法(DFA)分析时间序列数据的方法。应用该方法对某变形数据进行分析,分析其变形的相关性以及对后续建模分析时的作用。最后说明定标指数可以从整体上描述变形数据序列的动态变化特征。
This paper introduces the method of non-propensity oscillatory analysis (DFA) analysis of time series data in the theory of fractal. This method is used to analyze some deformation data and analyze the correlation between the deformation and the role in the subsequent modeling and analysis. Finally, it shows that the calibration index can describe the dynamic characteristics of deformation data sequence as a whole.