INTEGRATED DIAGNOSTIC TECHNIQUE FOR NUCLEAR POWER PLANTS
INTEGRATED DIAGNOSTIC TECHNIQUE FOR NUCLEAR POWER PLANTS
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DOI：
10.5516/net.04.2014.719
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发表时间：
2014-12
影响因子：
2.7
通讯作者：
A. Gofuku
中科院分区：
文献类型：
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作者：
A. Gofuku
检测和识别微小的异常和部件故障对于核电站等复杂大型工件的安全运行非常重要。每种诊断技术都有其自身的优势和局限性。这些事实启示我们，不仅要提高诊断技术的能力，而且要整合诊断子系统的结果，以获得更准确的诊断结果。本文概述了为快中子增殖反应堆“文殊”状态监测而开发的四种诊断技术。这些技术是（1）基于部件的物理模型的重要状态变量的估计技术，（2）通过应用SVM（支持向量机）的非线性判别函数的状态识别技术，（3）应用WT（小波变换）以检测测量信号的特性变化的诊断技术，以及（4）有效地使用过去情况的状态识别技术。此外，一个混合诊断系统，其中的最终诊断结果是通过整合从子系统的结果给出，其中使用两组值称为置信值和信任值。在置信度由各子系统确定的条件下，研究了确定信任度的方法。
It is very important to detect and identify small anomalies and component failures for the safe operation of complex and large-scale artifacts such as nuclear power plants. Each diagnostic technique has its own advantages and limitations. These facts inspire us not only to enhance the capability of diagnostic techniques but also to integrate the results of diagnostic subsystems in order to obtain more accurate diagnostic results. The article describes the outline of four diagnostic techniques developed for the condition monitoring of the fast breeder reactor “Monju”. The techniques are (1) estimation technique of important state variables based on a physical model of the component, (2) a state identification technique by non-linear discrimination function applying SVM (Support Vector Machine), (3) a diagnostic technique applying WT (Wavelet Transformation) to detect changes in the characteristics of measurement signals, and (4) a state identification technique effectively using past cases. In addition, a hybrid diagnostic system in which a final diagnostic result is given by integrating the results from subsystems is introduced, where two sets of values called confidence values and trust values are used. A technique to determine the trust value is investigated under the condition that the confidence value is determined by each subsystem.