基于遗传算法的船舶核动力装置冷凝器故障诊断研究

Study on fault diagnosis of condenser of marine nuclear power plant based on genetic algorithm

根据核动力装置冷凝器的运行特点,分析了导致冷凝器故障的各种原因,并结合领域专家的知识建立了故障征兆集.将遗传算法与概率因果模型相结合,建立了故障诊断系统.从系统的诊断结果看,该方法能准确、快速诊断出故障,这对保证核动力装置的安全运行具有一定的指导意义.

Some faults of condenser are analyzed according to its working performance in nuclear power plant. A fault symptom aggregate is established combining with experts＇ knowledge. The system of fault diagnosis is founded based on the combination of probabilistic causal-effect model with genetic algorithm. The result shows that the method can diagnose faults exactly and quickly, which is significant to the safe running of nuclear power plant.