| 稳健时序分析方法及其在边坡监测中的应用 |
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| 引用本文： | 刘志平,何秀凤.稳健时序分析方法及其在边坡监测中的应用[J].测绘科学,2007,32(2):73-74,80. |
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| 作者姓名： | 刘志平 何秀凤 |
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| 作者单位： | 河海大学卫星及空间信息应用研究所,南京,210098;河海大学卫星及空间信息应用研究所,南京,210098 |
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| 基金项目： | 国家自然科学基金项目(50579013)，现代水利科技创新项目(XDS2004-07) |
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| 摘 要： | 本文将稳健估计方法引入时间序列建模,提出了基于稳健估计的自回归建模方法。采用某实测边坡两个监测点连续30期数据对该方法进行了验证计算与分析,结果表明当监测序列没有异常值时,稳健与常规自回归模型的预报精度相当;而当监测序列含有少量异常值时,稳健比常规自回归模型的预报精度有较明显的提高。
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| 关 键 词： | 边坡监测 时序分析 稳健自回归模型 |
| 文章编号： | 1009-2307（2007）02-0073-03 |
| 修稿时间： | 2006-04-14 |
Robust time-series analysis method and it's application in slope monitoring |
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| LIU Zhi-ping,HE Xiu-feng.Robust time-series analysis method and it's application in slope monitoring[J].Science of Surveying and Mapping,2007,32(2):73-74,80. |
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| Authors: | LIU Zhi-ping HE Xiu-feng |
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| Abstract: | Traditional steady time-series models are briefly introduced in this paper,and the robust AR model is developed based on Huber estimation.Then modeling process and forecast analysis are discussed in detail.Finally,a case is studied from the 30-period continuous monitoring point data of a slope.The computation analysis shows that the robust AR model is more effective than traditional AR model in the forecast analysis when little gross error is buried in the raw monitoring data. |
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| Keywords: | slope monitoring time-series analysis robust AR model |
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