一种基于模糊规则和遗传算法的凝汽器故障诊断方法的研究

该文总结了汽轮机组凝汽器低真空常见故障，建立了凝汽器典型故障集。介绍了基于信息熵的故障征兆提取方法，建立了凝汽器故障征兆集。在利用模糊规则的故障诊断方法基础上，提出了一种基于模糊规则和遗传算法的凝汽器故障诊断方法。通过遗传算法对用于故障诊断的模糊规则进行精简，消除了低置信度规则的影响，从而提高了故障诊断效率。最后，将该文提出的方法用于某汽轮机组凝汽器故障诊断中，结果表明该方法行之有效，且易于工程实现。

A RESEARCH ON FUZZY RULES AND GENETIC ALGORITHM BASED METHOD FOR A CONDENSER FAULT DIAGNOSIS

The faults leading to reducing the vacuum of condensers are summarized briefly. The typical fault set of condensers is built. Based on information entropy, a method of extracting fault symptoms is given. Consequently, the fault symptoms set is built, too. Combined fuzzy rules with genetic algorithm, a scheme for diagnosing fault is presented. The fuzzy rules is simplified by genetic algorithm, the effect of the rules with low certainty is eliminated, therefore, the efficiency of fault diagnosis is improved. Finally,the faults in a condenser of a turbine unit are diagnosed with the aid of the presented method, the result of diagnosis shows that it is effective and easy to be put into practice.