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兵工学报 ›› 2016, Vol. 37 ›› Issue (5): 923-928.doi: 10.3969/j.issn.1000-1093.2016.05.021

• 论文 • 上一篇    下一篇

基于准信息熵的测试性D矩阵故障诊断新算法

田恒, 段富海, 江秀红, 桑勇   

  1. (大连理工大学 机械工程学院, 辽宁 大连 116024)
  • 收稿日期:2015-07-07 修回日期:2015-07-07 上线日期:2016-07-06
  • 通讯作者: 田恒 E-mail:tianheng.2008@163.com
  • 作者简介:田恒(1988—),男,博士研究生
  • 基金资助:
    航空科学基金项目(20130863006、20150863003);国家自然科学基金项目(51275068)

A Novel Fault Diagnosis Algorithm of Testability D matrix Based on Quasi Information Entropy

TIAN Heng, DUAN Fu-hai, JIANG Xiu-hong, SANG Yong   

  1. (School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China)
  • Received:2015-07-07 Revised:2015-07-07 Online:2016-07-06
  • Contact: TIAN Heng E-mail:tianheng.2008@163.com

摘要: 测试性D矩阵包含系统故障与测试的所有信息,是测试性分析的核心。正确处理D矩阵能极大地提高故障诊断的效率。在继承D矩阵传统处理算法优点的基础上,引入局部信息熵算式,提出一种准信息熵测试性D矩阵故障诊断新算法。新算法结合全局和局部两类寻优算法的特点,具有全局寻优和局部寻优的能力,并与传统算法具有相同的适应性。通过两个实例验证了新算法的有效性,表明新测试性D矩阵故障诊断算法具有减少诊断步数、诊断时间和诊断费用等优点。

关键词: 系统评估与可行性分析, 测试性, D矩阵, 准信息熵, 故障诊断, 故障信息

Abstract: Testability D matrix that is the core of testability analysis includes all information of faults and test of system. Exact manipulation of D matrix could greatly increase the efficiency of fault diagnosis. A local information entropy formula is given, and a new algorithm, called quasi information entropy, is proposed based on the analysis of the D matrix traditional processing methods. The proposed algorithm combines the characteristics of traditional global and local optimization algorithms, so it has the ability of global and local optimization and the same applicability as the traditional deposing methods. The availability of the fault diagnosis algorithm is verified by two examples, which show that the proposed algorithm of manipulating the testability D matrix has prominent advantages, such as reduced diagnostic procedure, shorted diagnostic time and reduced cost.

Key words: system assessment and feasibility analysis, testability, D matrix, quasi information entropy, fault diagnosis, fault information

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