概率因果模型结合改进遗传算法的核动力系统故障分析

Analysis of Fault in Nuclear Power System by Improved Genetic Algorithm and Probability Causal Model

将概率因果模型的似然函数作为遗传算法的适应函数,从而将复杂系统的故障诊断转化为最优问题,建立了一种将概率因果模型和遗传算法相结合的故障诊断方法,并利用改进算法与概率因果故障诊断模型对船用核动力装置进行故障诊断实例分析,分析结果对船用核动力装置故障诊断具有重要的指导意义,而改进遗传算法是进行船用核动力装置故障诊断有效而实用的方法。

A novel diagnosis method is proposed based on probabilistic causal-effect model and genetic algorithm, which takes advantage of calculating probability function from the causal-effect model as the fitness function instead of the original complex system. Improved algorithms and probabilistic causal fault diagnosis smodel is constructed to carry out the diagnosis analysis of marine nuclear power equipment.The analysis result is of importance to the fault diagnosis of marine nuclear power equipment,and improved genetic algorithm is an effective and practical way to diagnose the fault of marine nuclear power equipment.