机电工程技术2025，Vol.54Issue(7)：45-48,118,5.DOI:10.3969/j.issn.1009-9492.2025.07.009
基于核主成分分析的CANDU反应堆主泵状态监测
Condition Monitoring for Primary Heat Transport Pump in CANDU Reactor Based on KPCA
徐宇翔1
作者信息
- 1. 中核核电运行管理有限公司,浙江 嘉兴 314300
- 折叠
摘要
Abstract
In view of the shortcomings of traditional thresholds alarm,patrol inspection and manual parameters inspection to carry out monitoring and fault diagnosis of nuclear power plant,taking the primary heat transfer pump of CANDU6 reactor as an example,the monitoring and fault diagnosis technology is studied,and the intelligent early warning technology of main pump is proposed.The distributed strategy is adopted to establish the corresponding monitoring models according to the component functions and the parameter characteristics of the measuring points.The kernel principal component analysis(KPCA)is used for the anomaly detection in each component.After abnormal detection,the contribution plot is used to locate the fault and identify the abnormal parameters in time.The model and algorithm are tested by the real abnormal data of the main pump of Qinshan Phase Ⅲ CANDU6 reactor.The test results show that this method can find the abnormalities in time and accurately locate the abnormal parameters.关键词
核主成分分析(KPCA)/主泵/状态监测/CANDU6反应堆Key words
kernel principal component analysis(KPCA)/primary heat transport pump/condition monitoring/CANDU6 reactor分类
核科学引用本文复制引用
徐宇翔..基于核主成分分析的CANDU反应堆主泵状态监测[J].机电工程技术,2025,54(7):45-48,118,5.
