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基于时间和状态约束的故障因果关系图及其在燃气轮机中的应用
引用本文:刘永葆,刘志昌,黄树红.基于时间和状态约束的故障因果关系图及其在燃气轮机中的应用[J].舰船电子工程,2009,29(11):149-152.
作者姓名:刘永葆  刘志昌  黄树红
作者单位:1. 华中科技大学能源与动力学院,武汉,430074;海军工程大学船舶与动力学院动力工程系,武汉,430033
2. 山东商务职业学院基础部教学部,烟台,264670
3. 华中科技大学能源与动力学院,武汉,430074
基金项目:国家自然科学基金项目 
摘    要:故障原因及其产生位置的确定是决定故障诊断系统是否可用的关键因素。文章定义了离散事件系统中故障之间两种类型的因果关系,给出了故障因果图(FSCG)的概念,进一步给出了描述故障之间基于状态和时间约束关系的因果图,基于此,将上述方法应用在某燃气轮机的故障诊断过程中,在对燃气轮机的内部结构进行概述的基础上,结合具体的故障发生情况,给出了其部分故障树结构,进而给出了相应的故障因果关系图,将其应用到实际的故障诊断中,并与传统的故障树方法进行相关对比,证明了该方法的有效性。

关 键 词:故障诊断  故障因果图  基于状态和时间的故障因果图  离散事件系统

Fault Causality Relationship Graph Based on Time and State Restrictions and its Application on Gas Turbine
Liu Yongbao,Liu Zhichang,Huang Shuhong.Fault Causality Relationship Graph Based on Time and State Restrictions and its Application on Gas Turbine[J].Ship Electronic Engineering,2009,29(11):149-152.
Authors:Liu Yongbao  Liu Zhichang  Huang Shuhong
Institution:Liu Yongbao,Liu Zhichang, Huang Shuhong (1College of Energy and Power Engineering, Huazhong University of Science and Technology , Wuhan 430074;2Department of Power Engineering, Naval University of Engineering , Wuhan 430033;3Foundation Course Teaching Department, Shandong Business Institute , Yantai 264670)
Abstract:How to detect and locate the faulty states is the key to determine the effectiveness of fault diagnosis system.This paper defines two types of causality relationship between one fault and another in the Discrete Event System(DES).And it defines a graphic representation method based on state and time restrictions to describe the fault relationship.Based on these,above methods are applied to a marine gas turbine in the process of fault diagnosis.And the internal architecture is summarized and the partial fault tree is given combined with the actual fault occurrence. Then relative fault causality relationship graph is presented. And above graph is applied to real fault diagnosis. Lastly the method is compared with traditional fault tree diagnosis method. The results illustrate that our method is more effectively.
Keywords:fault diagnosis  fault causality relationship graph  fault causality relationship graph based on time and state restrictions  discrete event system
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