基于模糊集的核电厂故障诊断方法

Zhichun Li, Xiao-Min Liu
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引用次数: 1

摘要

核电站是一个庞大而复杂的系统,当核电站发生故障时,需要快速准确的故障诊断,才能保证核电站安全高效运行。本文论证了基于模糊集理论开发核电厂故障诊断系统的可行性。引入遗传算法对诊断规则进行优化,实现对核电站的快速故障诊断,最大限度地保证核电站的安全性和稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Method of Fault Diagnosis in Nuclear Plant Based on Fuzzy Sets
Nuclear power plant is a large and complex system, when it fail, a fast and accurate fault diagnosis is needed to ensure a safe and efficient working of nuclear power plant. In this paper, the feasibility of exploiting fault diagnosis system based on fuzzy sets theory in nuclear plant was demonstrated. The genetic algorithm was introduced to optimize the rules of diagnosis, so as to achieve fast fault diagnosis of nuclear power plant, to ensure maximum security and stability of the power plant.
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