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基于故障树和规则的火控系统故障诊断专家系统 预览

Fault Diagnosis Expert System for Fire Control Based on Fault Tree and Rule
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摘要 为提高坦克火控系统火力射击的精度,提出一种基于故障树和规则的坦克火控系统故障诊断专家系统。根据系统自身特点及相关专业知识建立故障树,结合坦克火控故障诊断专家系统构造原则,采用反向推理策略结合深度优先搜索的方法,通过故障树定性定量分析各部件对坦克火控系统性能的影响,给出故障树转化规则,得出应用改进的反向推理策略。研究结果表明:该方法提高了搜索效率,可为其他火控系统故障诊断提供借鉴。 In order to improve the accuracy of fire in tank fire control system,a fault diagnosis expert system for tank fire control system based on fault tree and rule is proposed.According to the characteristics of the system and related professional knowledge to build fault tree,combined with the construction principle of the tank fire control fault diagnosis expert system,reverse reasoning strategy combined with depth first search method is used.The effect of the components on the performance of the tank fire control system is qualitatively and quantitatively analyzed by the fault tree,and the transformation rules of the fault tree are given,and the improved reverse reasoning strategy is obtained.The research results show that this method improves the search efficiency and provides reference for other fire control system fault diagnosis.
作者 江山青 李英顺 张银图 Jiang Shanqing;Li Yingshun;Zhang Yintu(College of Information Science & Technology,Beijing University of Chemical Technology,Beijing 100029,China;School of Information Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China)
出处 《兵工自动化》 2019年第4期40-44,共5页 Ordnance Industry Automation
关键词 专家系统 故障树 故障诊断 推理策略 expert system fault tree fault diagnosis reasoning strategy
作者简介 江山青(1994-),男,贵州人,苗族,研究生,从事人工智能与故障诊断研究。
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