大型电站对分式凝汽器故障的征兆提取和模糊诊断研究

Research on Faults Symptoms Abstraction and Faults Fuzzy Diagnosis for Large Power-Station Halving-Style Condenser

针对大型电站对分式凝汽器的结构特点及现场凝汽系统构成和实际测点布置 ,运用凝汽器有关原理 ,建立了对分式凝汽器的动态仿真数学模型 ,并首次运用基于模型的故障仿真方法结合现场运行经验总结并完善了对分式凝汽器的典型故障征兆集 ,对故障征兆的具体表达方法进行了有益的探讨。在此基础上运用模糊模式识别方法实现对分式凝汽器故障诊断 ,改进了模糊诊断的隶属函数 ,通过诊断实例比较了改进前后的诊断效果。图 2表 6参

ed and the symptoms set is completed based on the model. The concrete expression method of the faults symptoms are disscussed helpfully. The fuzzy pattern recognition method is used to realize halving style condenser faults diagnosis. A new fuzzy subordinative function is adopted. Some examples are given to compare the diagnosis effect of the two different subordinative functions. Figs 2, tables 6 and refs 5.