An intelligent approach for thermal-hydraulic studies on safety and efficiency of nuclear power plant
An intelligent approach for thermal-hydraulic studies on safety and efficiency of nuclear power plant
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核电厂安全与效率热工水力研究的智能方法
DOI：
10.1016/j.egypro.2019.02.178
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
A. R. Sarkar
中科院分区：
文献类型：
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作者：
A. Hossain;Shakerul Islam;T. Hossain;A. Salahuddin;A. R. Sarkar
有效的故障识别对于核电站的安全可靠运行至关重要。若干恐怖活动的潜在后果可能危害使用有故障部件的核设施及其相关设施的社会。随后，严格的核反应堆热工水力实验事件支持设计改进，这是核安全措施中要考虑的重要载体。为了解决这个问题，人们使用了许多线性和非线性模式识别方法。因此，本工作的目的是研究模糊专家系统(FES)模型在核反应堆热工-液压系统等复杂系统中的应用及其对异常行为的早期预测的适应性。这项研究的目的是研究反应堆设计参数，特别是安全功能区的散热能力、包层导热系数、冷却剂的对流换热特性与它们严重程度的影响之间的关系，并说明模糊专家系统如何在风险评估中发挥重要作用。通过几个仿真实例对该诊断系统的性能进行了评估。仿真结果表明，该智能方法在核电厂安全和效率的热工水力研究中取得了良好的效果。
An effective identification of breakdowns is of premier importance for the safe and reliable operation of Nuclear Power Plants (NPP). The potential consequences of several terrorized activities may harm the society using nuclear and its associated facilities by using faulty components. Subsequently, rigorous nuclear reactor thermal-hydraulic experimental events support design improvement which are important vectors to be considered in nuclear safety measures. To challenge this problem, a number of linear and nonlinear pattern recognition methods have been utilized. Therefore, the aim of the present work is to study the application of fuzzy expert system (FES) model on a complex system such as nuclear reactor thermal-hydraulic system and their adaptation for the early forecast of irregular behaviour. The purpose of this study is to examine the relationship between reactor design parameters, in particular safety function areas of heat removal capability, conductivity of cladding, convective heat transfer characteristics of coolant and their impact of severity, and to illustrate how fuzzy expert system might play an important role in assessment of risk. Several simulation cases are conducted for evaluating the performance of the present diagnosis system. The simulation results show the good performance of the present intelligent approach in thermal-hydraulic studies on safety and efficiency of NPP.