火电厂凝汽器泄漏故障诊断研究

Study on the fault diagnosis of condenser leakage for thermal power plant

为了解决凝汽器运行过程中,其水侧换热面的污染而导致真空恶化问题,建立了凝汽器水侧管壁清洁系数的监测模型。同时,通过研究凝汽器故障机理,建立了故障诊断知识库,并根据模糊神经网络和改进的BP算法相结合的方法建立了凝汽器故障诊断系统,以及时诊断出故障的位置和原因。实例验证,该故障诊断系统诊断的结果与与现场实际检查结果一致,有效可行。

In order to eliminate the vacuum deterioration caused by the pollution of heat transfer surface at water side during the running of condenser, the inspection model of the clearance coefficient of water side tube wall is established. At the meantime, the knowledge base of fault diagnosis is established by the study on fault mechanism of condenser and the fault diagnosis system is established to determine location and reason in time on the basis of the combination of fuzzy neural network and the improved BP neural network. Example proves that the result of this diagnosis system coincides with that of on - site detection.