基于故障树和规则的火控系统故障诊断专家系统 |
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引用本文: | 江山青.基于故障树和规则的火控系统故障诊断专家系统[J].兵工自动化,2019,38(4). |
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作者姓名: | 江山青 |
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作者单位: | 北京化工大学信息科学与技术学院,北京 100029 |
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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。
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关 键 词: | 专家系统 故障树 故障诊断 推理策略 |
收稿时间: | 2018/12/23 0:00:00 |
修稿时间: | 2019/2/28 0:00:00 |
Fault Diagnosis Expert System for Fire Control Based on Fault Tree and Rule |
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Abstract: | 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. |
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Keywords: | expert system fault tree fault diagnosis reasoning strategy |
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