摘要
为提高坦克火控系统故障诊断的准确率,以某型坦克火控系统为对象,提出了基于案例和规则融合的D-S证据理论故障诊断专家系统。根据坦克火控系统结构特点和专家提供的经验知识,分别运用案例知识专家系统和产生式规则专家系统,最后把两种推理方法得到的结果通过D-S证据理论融合。研究结果表明:该方法克服了单一方法对信息利用不充分的缺陷,提高了坦克火控系统故障诊断的准确率,减少了漏诊误诊率。
In order to improve the accuracy of fault diagnosis of tank fire control system, a D-S evidence theory fault diagnosis expert system was proposed for a certain tank fire control system based on case and rule fusion. Case knowledge expert system and production rule expert system were used respectively according to the structural characteristics of tank system and the experience knowledge provided by experts. Finally, the results of the two reasoning methods are combined by D-S evidence theory. The results show that this method overcomes the shortcoming of insufficient information utilization through the use of homogeneous methods, improves the accuracy of fault diagnosis of tank fire control system, and reduces the rate of missed diagnoses and misdiagnoses.
作者
李英顺
江山青
陈悦峰
周建军
张银图
LI Yingshun;JIANG Shanqing;CHEN Yuefeng;ZHOU Jianjun;ZHANG Yintu(School of Information Engineering,Beijing Institute of Petro-chemical Technology,Beijing 102600,China;School of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100020,China;Beijing Institute of Special Vehicles,Beijing 100071,China)
出处
《火炮发射与控制学报》
北大核心
2020年第1期104-108,共5页
Journal of Gun Launch & Control
基金
北京市教育委员会科技计划一般项目(KM201810017007)
