| 基于GLR-NT的显著误差检测与数据协调 |
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| 引用本文： | 蒋余厂,刘爱伦. 基于GLR-NT的显著误差检测与数据协调[J]. 华东理工大学学报(自然科学版), 2011, 37(4): 502-508 |
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| 作者姓名： | 蒋余厂 刘爱伦 |
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| 作者单位： | 华东理工大学自动化系,上海,200237 |
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| 基金项目： | 国家“863”项目(2009AA042141) |
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| 摘 要： | 提出了一种广义似然比法（Generalized Likelihood Ratio,GLR）与节点检测法（NodalTest,NT）组合的显著误差检测和稳态数据协调方法。该方法充分发挥了GLR法和NT法的优点,采用逐次侦破、补偿校正的策略,避免了传统显著误差侦破方法中系数矩阵降秩问题,并且融入了测量变量的上、下限约束,最...
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| 关 键 词： | 广义似然比法 节点检测法 显著误差检测 数据协调 |
Gross Error Detection and Data Reconciliation Based on A GLR-NT Combined Method |
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| JIANG Yu-chang,LIU Ai-lun. Gross Error Detection and Data Reconciliation Based on A GLR-NT Combined Method[J]. Journal of East China University of Science and Technology, 2011, 37(4): 502-508 |
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| Authors: | JIANG Yu-chang LIU Ai-lun |
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| Affiliation: | JIANG Yu-chang,LIU Ai-lun(Department of Automation,East China University of Science andTechnology,Shanghai 200237,China) |
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| Abstract: | By combining generalized likelihood ratio and nodal test,this paper proposes a new method for gross error detection and data reconciliation,GLR-NT combining method.This method makes full use of the advantages of both generalized likelihood ratio and nodal test,and adopts a strategy of detecting and compensating in successive iteration.Thus,the decreasing problem of coefficient matrix rank in traditional method may be effectively avoided.Moreover,by integrating the constraint of bounds on measurement variabl... |
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| Keywords: | generalized likelihood ratio nodal test gross error detection data reconciliation |
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