Diagnosis Strategy Optimization Method Based on Improved Quasi Depth Algorithm
Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 729-732.doi: 10.11896/jsjkx.210700076

• Interdiscipline & Application • Previous Articles     Next Articles

Diagnosis Strategy Optimization Method Based on Improved Quasi Depth Algorithm

ZHANG Zhi-long, SHI Xian-jun, QIN Yu-feng   

  1. Naval Aviation University,Yantai,Shangdong 264001,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:ZHANG Zhi-long,born in 1997,postgraduate.His main research interests include aircraft detection and fault diagnosis.

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Abstract: In the existing diagnostic strategy optimization methods,there are few researches on the unreliability test of multi-valued system,and it is difficult to fully consider the dual effects of multi-valued test and unreliability test on the optimization of diagnostic strategy.A quasi-depth algorithm based on tabu search is proposed.Firstly,the uncertain correlation matrix between fault and multi-valued test and the multi-valued unreliable diagnosis strategy are described.Then,aiming at the problem,the steps of the improved quasi-depth algorithm for tabu search are described.Finally,an example is given to verify the proposed algorithm.Experimental results show that the algorithm can reduce the algorithm complexity while ensuring the fault detection and isolation effect,and make the optimization process of diagnosis strategy more accurate and efficient.

Key words: Diagnostic strategy, Multi-valued unreliability test, Quasi-depth algorithm, Tabu search, Testable design

CLC Number: 

  • TP301.6
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