非倾向性振荡分析用于变形监测数据分析的探讨
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摘要
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。
Detrended fluctuation analysis of fractal theory for time series are applied to study some deformation monitoring data.The correlation and effect for later model building is analyzed.Finally,it concludes that the DFA index can describe the dynamic movement character of deformation data.
Detrended fluctuation analysis of fractal theory for time series are applied to study some deformation monitoring data.The correlation and effect for later model building is analyzed.Finally,it concludes that the DFA index can describe the dynamic movement character of deformation data.
引文
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[3]冯蔚东.交通流中的分形研究[J].高科技通讯,2000,(6).
[4]赖道平,吴中如,周红.分形学在大坝安全监测资料分析中的应用[J].2004,(1):100-104.
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[6]李水根.分形[M].北京:高等教育出版社.2004.
[7]王晓华,等,变形监测研究现状综述[J].测绘科学,2006,31(2).
[8]Janosi Imre M.Statistical analysis of 5s index data[J].Physica A,1999,269:111~124.
[9]Marco Roberto.Volatility in the Italian stock market:anempirical study[J].Physica A 1999,269:148~155.
[10]Ausloos M.Introducting False EUR and False EUR ex-change rates[J].Physica A,2000,286:353~366.
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[12]Pilar Grou-Carles.Long-range correlations in stock re-turns[J].Physical A,2001,299:521-527.
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