| 基于时间冗余度侦破过失误差的修正系数法 |
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| 引用本文： | 李博,陈丙珍,段东勇,孔明放.基于时间冗余度侦破过失误差的修正系数法[J].清华大学学报(自然科学版),2000,40(10):65-69. |
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| 作者姓名： | 李博 陈丙珍 段东勇 孔明放 |
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| 作者单位： | 清华大学,化学工程系,北京,100084 |
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| 基金项目： | 国家“九五”科技攻关项目!(96 - 5 46 - 0 3- 0 6 ) |
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| 摘 要： | 为正确侦破与识别测量数据中含有的过失误差以保证数据校正结果的可靠性 ,提出一种修正系数法 ,利用过程测量数据的时间冗余度对测量数据中可能含有的过失误差进行侦破与识别 ,并对过失误差的大小进行估计。应用实例表明 ,此方法对过失误差的数目、位置等因素并不敏感 ,具有较好的鲁棒性 ,适用于空间冗余度较小的实际问题。
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| 关 键 词： | 在线数据校正 时间冗余度 过失误差侦破识别 |
| 修稿时间： | 1999-12-29 |
Correction coefficient method for gross error detection based on temporal redundancy |
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| LIBo,CHENBingzhen,DUANDongyong,KONGMingfang.Correction coefficient method for gross error detection based on temporal redundancy[J].Journal of Tsinghua University(Science and Technology),2000,40(10):65-69. |
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| Authors: | LIBo CHENBingzhen DUANDongyong KONGMingfang |
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| Abstract: | A correction coefficient method was developed to detect and identify the gross measurement error to keep the reliability of the results after data reconciliation. This method detects and identifies the gross measurements errors using the temporal redundancy given by a series of measurements over time. The robust character of this method to the number and location of gross errors is illustrated by two examples which show that this method can be used for practical online data reconciliation problems having low spatial redundancy. |
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| Keywords: | online data reconciliation temporal redundancy gross error detection and identification |
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