PATTERN-RECOGNITION APPLICATION FOR SURVEILLANCE OF ABNORMAL CONDITIONS IN A NUCLEAR-REACTOR

被引:8
作者
PEPYOLYSHEV, YN [1 ]
DZWINEL, W [1 ]
机构
[1] STANISLAW STASZIC UNIV MIN & MET,INST COMP SCI,PL-30059 KRAKOW,POLAND
关键词
D O I
10.1016/0306-4549(91)90046-Z
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
The system to monitor abnormal conditions in a nuclear reactor, based on the noise analysis of the reactor basic parameters such as power, temperature and coolant flow rate has been developed. The pattern recognition techniques such as clustering, cluster analysis, feature selection and cluster visualization methods form the basis of the software system. Apart from non-hierarchical clustering procedures applied earlier, the hierarchical one is recommended. The system application for IBR-2 Dubna reactor diagnostics is shown.
引用
收藏
页码:117 / 123
页数:7
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