北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (9): 1832-1840.doi: 10.13700/j.bh.1001-5965.2016.0703

• 论文 • 上一篇    下一篇

基于灰色理论的复杂系统多故障模糊诊断

张弢1,2, 王金波1, 张涛1, 王建敏1   

  1. 1. 中国科学院 空间应用工程与技术中心, 北京 100094;
    2. 中国科学院大学, 北京 100049
  • 收稿日期:2016-09-02 出版日期:2017-09-20 发布日期:2016-12-13
  • 通讯作者: 张弢,E-mail:ztao@csu.ac.cn E-mail:ztao@csu.ac.cn
  • 作者简介:张弢,男,博士研究生,助理研究员;主要研究方向:测试系统设计与故障诊断、软件评测;王金波,男,博士,副研究员;主要研究方向:高可靠软件评测、测试系统设计;张涛,男,博士,研究员,博士生导师;主要研究方向:航天应用系统总体设计;王建敏,男,博士,助理研究员;主要研究方向:自动控制技术、系统测试、软件评测
  • 基金资助:
    国家科技重大专项(Y3140731RN)

Multi-fault fuzzy diagnosis for complicated system based on grey theory

ZHANG Tao1,2, WANG Jinbo1, ZHANG Tao1, WANG Jianmin1   

  1. 1. Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-09-02 Online:2017-09-20 Published:2016-12-13
  • Supported by:
    National Science and Technology Major Project (Y3140731RN)

摘要: 航天、核电等复杂系统源发故障概率通常难于获取,由此导致基于最大后验概率准则的诊断方法失效。针对上述问题,从测试可靠性先验概率入手,提出了一种基于相关矩阵和灰色系统理论的故障诊断方法,通过对系统建立故障-测试相关矩阵,生成有排序的测试报警概率矩阵,并利用灰色关联度衡量测试结果向量与故障特征向量的接近度,实现了对多发故障的模糊诊断。实验结果表明,该方法在诊断指标权重调整、诊断精细度、重点关注故障检出等方面优势明显,诊断结论正确率满足实用需求。

关键词: 模糊诊断, 灰色关联分析, 相关矩阵, 概率推理, 复杂系统

Abstract: The failure probability is usually hard to collect for complicated systems in aerospace or nuclear power, which makes fault diagnosis based on Bayesian model inapplicable. By surveying this problem in test space, a novel multi-fault fuzzy diagnosis method based on dependency matrix and grey theory was proposed. A fault-testing dependency matrix was described first, and the fault alarm probability matrix with interest priority was developed. By calculating grey correlation degrees between test vectors and fault feature vectors, suspect faults can be located. Experimental results show that the proposed method can support diagnosis parameters' adjustment and report interested faults first, and the diagnosis conclusion has suitable accuracy, which can meet the practical demand.

Key words: fuzzy diagnosis, grey correlation analysis, dependency matrix, probability reasoning, complicated system

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