基于改进准深度算法的诊断策略优化方法

doi:10.11896/jsjkx.210700076

摘要/Abstract

摘要： 针对现有诊断策略优化方法中对多值系统不可靠测试的研究较少,且难以充分考虑多值测试和不可靠测试对诊断策略优化的双重影响的问题,提出了一种基于禁忌搜索的准深度算法。首先对故障与多值测试不确定相关性矩阵和多值不可靠诊断策略问题进行了描述;然后针对该问题,阐述禁忌搜索改进的准深度算法步骤;最后通过案例对所提算法进行了仿真验证。实验结果表明,所提算法能在保证故障检测和隔离效果的基础上降低算法复杂度,使得诊断策略优化过程更加准确高效。

关键词: 测试性设计, 多值不可靠测试, 禁忌搜索, 诊断策略, 准深度算法

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

中图分类号:

TP301.6

张志龙, 史贤俊, 秦玉峰. 基于改进准深度算法的诊断策略优化方法[J]. 计算机科学, 2022, 49(6A): 729-732. https://doi.org/10.11896/jsjkx.210700076

ZHANG Zhi-long, SHI Xian-jun, QIN Yu-feng. Diagnosis Strategy Optimization Method Based on Improved Quasi Depth Algorithm[J]. Computer Science, 2022, 49(6A): 729-732. https://doi.org/10.11896/jsjkx.210700076

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