模糊模式识别在凝汽器故障诊断中的应用  

APPLICATION OF FUZZY PATTERN RECOGNITION

作　　者：王培红[1] 朱玉娜[1] 贾俊颍 吕震中[1] 

机构地区：[1]东南大学动力系,南京210096

出　　处：《中国电机工程学报》1999年第10期46-49,共4页Proceedings of the CSEE

摘　　要：运用模糊数学方法，将阀值原则和最大隶属原则相结合，建立了凝汽器故障诊断模型。实践证明，该模型能有效地判定待识别征兆集是否为病态，而且所得隶属度差别明显，因而能准确判定故障原因。避免因待识别征兆集病态引起的误判断或因几种故障的隶属度无显著差异，而导致无法明确诊断故障的问题。This paper discusses tipical faults diagnosis models for condenser by applying fuzzy math. Valve value rule is integrated with maximum memebership rule. From the practice, the memebership degree of these models are distinctly different from each other, so the causation of the faults can be figured out well and truly. With these models, misidentification caused by resemblant memership degree and diseased symptoms is avoided.

关 键 词：汽轮机 凝汽器 故障诊断 模式识别 模糊数学 

分 类 号：TK264.11[动力工程及工程热物理—动力机械及工程] O235[理学—运筹学与控制论]