个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:西北工业大学
学位:博士
所在单位:机械工程学院
学科:测试计量技术及仪器. 精密仪器及机械. 机械制造及其自动化. 机械电子工程
电子邮箱:duanfh@dlut.edu.cn
基于准信息熵的测试性D矩阵故障诊断新算法
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发表时间:2022-10-10
发表刊物:兵工学报
期号:5
页面范围:923-928
ISSN号:1000-1093
摘要: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. © 2016, Editorial Board of Acta Armamentarii. All right reserved.
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