Modern Defense Technology ›› 2022, Vol. 50 ›› Issue (2): 96-103.DOI: 10.3969/j.issn.1009-086x.2022.02.013
• INTEGRATED LOGISTICS SUPPORT TECHNOLOGY • Previous Articles Next Articles
Xiao-shuai DU1,2, Bing HU1, Duan-yang SHI1, Xin-yu ZHANG1
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杜小帅1,2, 胡冰1, 施端阳1, 张馨予1
作者简介:
基金资助:
Abstract:
In order to avoid the backtracking operation of AO* algorithm and Rollout algorithm, and to overcome the problem of poor optimality of information entropy algorithm, and achieve the purpose of fault detection and isolation of equipment with low test cost, a diagnostic strategy construction method combining one-step and multi-step optimization is proposed. Based on the similarity between diagnostic strategy construction and noiseless coding, a one-step or multi-step optimal search method is selected according to the probability distribution of the fault state fuzzy set. When the fault with the highest probability in the fuzzy set of fault states meets certain conditions, it is prioritized for isolation and the corresponding test sequence is generated so that the fault with higher priori probability has less test steps and costs, so as to reduce the overall cost of diagnosis. Through the analysis and verification of examples, the concrete process of constructing the diagnostic strategy is given, and the effectiveness of the method is proved.
Key words: testability, diagnostic strategy, test sequence, fault diagnosis, test cost
摘要:
为避免AO*算法及Rollout算法的回溯操作,同时克服信息熵算法最优性较差的问题,达到以较低测试费用对装备进行故障检测和隔离的目的,提出了一种单步和多步寻优结合的诊断策略构建方法。该方法以诊断