摘要
介绍一种将概率因果模型和遗传算法相结合的核动力装置二回路凝给水系统的故障诊断方法,该方法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。仿真结果表明,该方法能够适应诊断过程中出现的不确定性,并实现多故障诊断,具有较高的诊断可靠性和实用性。
A novel diagnosis method is proposed based on probabilistic causal-effect model and genetic algo rithm, which takes advantage of calculating probability function from the causal-effect model as the fitness function instead of the original complex system. Simulation results show that it can deal with the uncertainty situation and be suitable for multi-faults diagnosis. This method has higher reliability and practicability.
出处
《中国造船》
EI
CSCD
北大核心
2007年第2期111-115,共5页
Shipbuilding of China
关键词
船舶、舰船工程
遗传算法
故障诊断
概率因果模型
核动力装置
ship engineering
genetic algorithm
fault diagnosis
probability causal-effect model
nuclear power plant
