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

doi:10.3969/j.issn.1000-1093.2016.05.021

Abstract

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

CLC Number:

TP206

TIAN Heng, DUAN Fu-hai, JIANG Xiu-hong, SANG Yong. A Novel Fault Diagnosis Algorithm of Testability D matrix Based on Quasi Information Entropy[J]. Acta Armamentarii, 2016, 37(5): 923-928.

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