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	堆芯功率分布重构的两种空间统计性算法
	彭星杰 ; 李庆 ; 王侃 ; PENG Xing-jie ; LI Qing ; WANG Kan
	2016-03-30 ; 2016-03-30
关键词	功率分布重构 空间统计性理论 普通克里金方法 卡尔曼滤波方法 power distribution reconstruction spatial statistical theory ordinary Kriging method Kalman filter method TL351.1
其他题名	Two Spatial Statistical Algorithms for Core Power Distribution Reconstruction
中文摘要	本工作提出两种基于空间统计性理论的堆芯功率分布重构算法:普通克里金方法是一种基于空间自协方差的最优插值法;卡尔曼滤波方法是一种有效结合理论计算与测量数据的数据同化方法。应用秦山第二核电厂3号机组和大亚湾核电站1号机组的测量数据对上述两种方法的功率分布重构精度进行了验证,并与耦合系数法(CECOR)的重构精度进行了比较。结果表明,两种方法的重构误差均满足工程要求,且重构精度优于耦合系数法。; Two core power distribution reconstruction methods based on spatial statistical theory were proposed.Ordinary Kriging method is an optimal interpolation method based on spatial autocovariance and Kalman filter method is one of the data assimilation methods which could combine theoretical computation and measurements effectively.Measurement data from Unit 3reactor of Qinshan No.2Nuclear Power Plant and Unit 1reactor of Daya Bay Nuclear Power Plant were used to verify the accuracy of these methods,and comparisons were made between these methods and the coupling coefficients method.The results show that the reconstruction errors of two methods satisfy the requirement of engineering and the reconstruction accuracies of two methods are better than the coupling coefficients method.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/143212]
专题	清华大学
推荐引用方式 GB/T 7714	彭星杰,李庆,王侃,等. 堆芯功率分布重构的两种空间统计性算法[J],2016, 2016.
APA	彭星杰,李庆,王侃,PENG Xing-jie,LI Qing,&WANG Kan.(2016).堆芯功率分布重构的两种空间统计性算法..
MLA	彭星杰,et al."堆芯功率分布重构的两种空间统计性算法".(2016).

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