模糊SDG故障诊断方法及其应用  

Fault diagnosis method and application based on fuzzy signed directed graph

作　　者：马昕[1] 张贝克[1] 

机构地区：[1]北京化工大学信息科学与技术学院,北京100029

出　　处：《计算机工程与应用》2011年第9期221-224,239,共5页Computer Engineering and Applications

基　　金：黑龙江省科技攻关项目(No.GB06A106)~~

摘　　要：基于SDG的故障诊断方法在使用过程中,由于阈值设定不合理会导致故障的误报或漏报。针对该问题展开研究,提出模糊SDG模型,建立五级SDG模型并引入参数模糊隶属度,提出相应的模糊推理算法。通过将模糊SDG模型及其推理方法应用于某常减压蒸馏装置进行故障诊断实例分析,验证了方法的有效性和可行性。If the thresholds are set unreasonably,the fault diagnosis method based on signed directed graph may cause the fault is predicted incorrectly or ignored.In this paper,the model of fuzzy signed directed graph is presented,in which the three-stage SDG model is substituted by the five-stage SDG model,the parameter node is given the fuzzy membership,and the corresponding fuzzy reasoning algorithm is presented.Fuzzy SDG model and fuzzy SDG reasoning are introduced into a fault diagnosis example of atmospheric and vacuum distillation unit,which verifies the method is effective and feasible.

关 键 词：符号有向图(SDG) 模糊符号有向图(SDG) 模糊阈值 模糊推理 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]