| 一种基于有向图模型的模糊多故障诊断算法 |
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| 引用本文： | 连可,黄建国,龙兵.一种基于有向图模型的模糊多故障诊断算法[J].系统工程与电子技术,2008,30(3):568-571. |
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| 作者姓名： | 连可 黄建国 龙兵 |
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| 作者单位： | 电子科技大学自动化工程学院,四川,成都,610054 |
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| 基金项目： | 国防科技应用基础研究基金 |
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| 摘 要： | 基于最大后验概率准则的复杂系统多故障诊断推理算法依赖于系统先验故障概率的获取.针对这一不足,提出了一种基于有向图模型的系统级模糊故障诊断算法.首先用有向图模型描述大型复杂系统各子系统及故障观测节点问的信息依赖关系,建立故障依赖矩阵;然后在故障观测概率空间建立特征故障观测概率矩阵;在此基础上设计了模糊函数以描述实际观测向量与故障特征向量的相似度,并提出了相应的诊断算法.仿真结果表明该算法具有足够的故障诊断精度和诊断效率.
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| 关 键 词： | 故障诊断 复杂系统 有向图 模糊函数 有向图模型 模糊函数 多故障 诊断算法 models digraph based algorithm multiple fault diagnosis 诊断效率 精度 故障诊断 仿真结果 相似度 特征向量 观测向量 设计 概率矩阵 概率空间 依赖矩阵 |
| 文章编号： | 1001-506X(2008)03-0568-04 |
| 修稿时间： | 2007年4月18日 |
Fuzzy multiple fault diagnosis algorithm based on digraph models |
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| LIAN Ke,HUANG Jian-guo,LONG Bing.Fuzzy multiple fault diagnosis algorithm based on digraph models[J].System Engineering and Electronics,2008,30(3):568-571. |
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| Authors: | LIAN Ke HUANG Jian-guo LONG Bing |
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| Abstract: | According to the characteristics of large scale systems,a fuzzy fault diagnosis algorithm based on digraph models is proposed.First,relationships between subsystems and monitoring points of system by the digraph model are described,and its dependency matrix is built.Next,its characteristic fault detecting probability matrix is built.Based on it,a fuzzy function is designed to characterize the comparability between observation vectors and characteristic fault detecting probability vectors,and a corresponding diagnosis algorithm is proposed.The results of experiment demonstrate that this algorithm has good precision and efficiency. |
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| Keywords: | fault diagnosis complicated system digraph model fuzzy function |
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