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大坝安全监测数据粗差识别方法的比较与改进
引用本文:李啸啸,蒋敏,吴震宇,陈建康.大坝安全监测数据粗差识别方法的比较与改进[J].中国农村水利水电,2011(3).
作者姓名:李啸啸  蒋敏  吴震宇  陈建康
作者单位:四川大学水利水电学院,四川,成都,610065
摘    要:大坝安全监测的主要目的是了解大坝坝体及基础的实际工作状况,尽早发现异常现象并进行必要的处理以确保大坝安全运行.监测数据的采集与处理是大坝安全监测工作的重要环节,在处理监测数据时往往会遇到粗大误差.在充分收集、分析国内外相关研究成果的基础上,依托冶勒水电站、宝珠寺水电站等实际工程,重点研究了几种粗差识别方法,探讨了其适用范围.通过对传统粗差分析方法的改进,提出了适用于大坝安全监测数据预处理的方法,即引入数学模型计算残差,通过残差来判断原始数据系列中的粗差.

关 键 词:粗差识别  大坝安全检测  样本容量  数学模型  残差

Comparison between the Methods for Outliers Identifying from the Dam Safety Monitoring Data and the Improvement of Them
LI Xiao-xiao , JUNG Min , WU Zhen-yu , CHEN Jian-kang.Comparison between the Methods for Outliers Identifying from the Dam Safety Monitoring Data and the Improvement of Them[J].China Rural Water and Hydropower,2011(3).
Authors:LI Xiao-xiao  JUNG Min  WU Zhen-yu  CHEN Jian-kang
Institution:LI Xiao-xiao,JIANG Min,WU Zhen-yu,CHEN Jian-kang(College of Hydraulic and Hydro-electric Engineering,Sichuan University,Chengdu 610065,China)
Abstract:The main purpose of dam safety monitoring is to know the working conditions of dams and their bases in order to find abnormal phenomena as early as possible and make some necessary adjustments to ensure the safety of dams.Collecting and processing monitoring data with many errors to be dealt with are an important part of dam safety monitoring.Based on full collection,this paper analyzes relevant research results,relies on Yele and Baozhushi Stations,mainly studies several methods of error analysis and the s...
Keywords:outlier identification  dam safety monitoring  sample size  mathematical model  residual  
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