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    • 3. 发明专利
    • Reactor core monitoring method for boiling water nuclear reactor
    • 水核反应堆锅炉反应器核心监测方法
    • JP2005134291A
    • 2005-05-26
    • JP2003372183
    • 2003-10-31
    • Tokyo Electric Power Co Inc:TheToshiba Corp東京電力株式会社株式会社東芝
    • KAGAMI YUICHIMORI HARUTSUGUKANEMOTO SHIGERUENOMOTO MITSUHIROKAWAMURA SHINICHIRO
    • G21C17/00
    • PROBLEM TO BE SOLVED: To estimate a main parameter affecting a reactor core dynamic characteristic such as a void reactivity coefficient, and a noise source causing a steady state fluctuation, from time to time, without imparting disturbance to a plant under an operation, so as to be utilized for monitoring a reactor core.
      SOLUTION: A statistical feature amount is found by frequency analysis, based on fluctuation components of a neutron flux signal and a reactor core flow rate signal of a boiling water nuclear reactor, a theoretical value of the statistical feature amount is found by assuming the plurality of noise sources in a dynamic characteristic model of the reactor core of the boiling water nuclear reactor, a level of the parameter or the noise source in the dynamic characteristic model to minimize a difference between the statistical feature amount and the theoretical value of the statistical feature amount, and the level of the parameter or the noise source is used for the monitoring.
      COPYRIGHT: (C)2005,JPO&NCIPI
    • 要解决的问题:不时地对工厂造成干扰的情况,不时地估计影响反应堆堆芯动态特性(如空隙反应性系数)的主要参数和引起稳态波动的噪声源 ,以便用于监测反应堆堆芯。 解决方案:根据沸腾核反应堆的中子通量信号和反应堆核心流量信号的波动分量,通过频率分析发现统计特征量,统计特征量的理论值通过假设 在沸水核反应堆的反应堆核心的动态特性模型中的多个噪声源,动态特性模型中的参数或噪声源的水平,以最小化统计特征量与理论值之间的差异 统计特征量,以及参数或噪声源的水平用于监测。 版权所有(C)2005,JPO&NCIPI
    • 10. 发明专利
    • DEVICE AND METHOD FOR MONITORING AND DIAGNOSTIC PLANT
    • JPH08234832A
    • 1996-09-13
    • JP3726495
    • 1995-02-24
    • TOSHIBA CORP
    • TAMAOKI TETSUOSONODA YUKIOENOMOTO MITSUHIROKANEMOTO SHIGERUKOMAI NORIMITSUKAGEYAMA TAKAOOTA YASUO
    • G21D3/04G05B23/02
    • PURPOSE: To speedily diagnose the factor of abnormality even when the influence of abnormality generated at a large scale plant is propagated between systems or subsystems in a short time and any change appears in process signals over a wide range. CONSTITUTION: This device is provided with a monitor processing part 3 for detecting the runaway of a monitor index from a normal range calculated by the process signal observed at the plant as an abnormality indication, qualitative model data base 6 registering a network model describing the characteristics of influence propagation between the respective monitor indexes, abnormality propagation route identifying part 4 for identifying the route of abnormality propagation caused by abnormality by collating the observed indication pattern with the network model, cause-and-effect table data base 7 registering a cause- and-effect table describing the indication patterns of respective monitor indexes estimated to various abnormality factors, abnormality factor identifying part 5 for identifying the abnormality factor by collating the cause-and-effect table of monitor indexes identified as the origins of abnormal changes with the observed indication patterns, and output display part 10 for outputting the identified influence propagation route.