基于遗传算法的核动力设备实时故障诊断系统  

Nuclear Power Plant Real-Time Fault Diagnosis System Based on Genetic Algorithm

作　　者：蔡猛[1] 张大发[1] 张宇声[1] 

机构地区：[1]海军工程大学船舶与动力学院,武汉430033

出　　处：《核动力工程》2009年第3期111-114,130,共5页Nuclear Power Engineering

摘　　要：在神经网络故障诊断研究的基础上,将遗传算法引入神经网络优化,并在此基础上设计了核动力设备遗传优化神经网络实时故障诊断系统。测试结果表明,该故障诊断系统能迅速、准确、可靠地诊断出所设故障。Genetic algorithm is used to optimize the neural networks based on the study on neural network fault diagnosis. Then, genetic optimized NN real-time fault diagnosis system of nuclear power plant is designed. The test results show that this fault diagnosis system can diagnose the set fault rapidly, exactly and reliably.

关 键 词：故障诊断 神经网络 遗传算法 

分 类 号：TL383[核科学技术—核技术及应用]