基于改进遗传算法的核动力装置故障诊断研究  

Study on Fault Diagnosis of Nuclear Power Plant Based on Improved Genetic Algorithm

作　　者：孔衍[1] 任鑫[2] 王川[2] 傅吉尧 李伟[1] 

机构地区：[1]海军蚌埠士官学校,安徽蚌埠233012 [2]海军医学研究所,上海200433

出　　处：《原子能科学技术》2012年第11期1357-1361,共5页Atomic Energy Science and Technology

基　　金：海军医学研究所基金资助项目(12HY21)

摘　　要：针对核动力装置故障和对应征兆繁多的特点,并克服传统遗传算法进行故障诊断的固有缺陷,提出了一种基于改进遗传算法和概率因果模型的故障诊断技术,构建了诊断系统。该系统主要由数据采集模块和故障诊断模块构成,具有诊断实时性强、计算速度快的特点。为验证系统的有效性,对蒸汽发生器进行了故障诊断,测试结果与相关文献结论吻合。最后还与传统遗传算法进行了比较,表明改进后的遗传算法可有效避免误诊、漏诊现象,诊断准确率较高。Aimed at the characteristics of marine nuclear power plant that fault and corresponding sign are various, and in order to overcome inhere problem of traditional genetic algorithm, improved genetic algorithm and probability causal model were integrated to establish fault diagnosis system. The system is made up of data collection module and fault diagnosis module with high real time and speed. To validate the system, stream generator was diagnosed, and the computation result is in agreement with conclusion of some literature. At last, the comparison with tradition arithmetic was made. The results indicate that with improved genetic algorithm, mistaken diagnosis is improved effectively, and accuracy of fault diagnosis is enhanced.

关 键 词：核动力装置 故障诊断 遗传算法 概率因果模型 蒸汽发生器 

分 类 号：TL99[核科学技术—核技术及应用]