Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (9): 221-224.

• 工程与应用 • Previous Articles     Next Articles

Fault diagnosis method and application based on fuzzy signed directed graph

MA Xin,ZHANG Beike   

  1. College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-03-21 Published:2011-03-21

模糊SDG故障诊断方法及其应用

马 昕,张贝克   

  1. 北京化工大学 信息科学与技术学院,北京 100029

Abstract: 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.

Key words: Signed Directed Graph, fuzzy Signed Directed Graph(SDG), fuzzy threshold, fuzzy reasoning

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。

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