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面向服务的AI-ESTATE故障诊断系统建模
引用本文:姜会霞,范书义,魏保华,王成.面向服务的AI-ESTATE故障诊断系统建模[J].应用声学,2017,25(3):15-17, 21.
作者姓名:姜会霞  范书义  魏保华  王成
作者单位:军械工程学院 导弹工程系,石家庄 050003,军械工程学院 导弹工程系,石家庄 050003,军械工程学院 导弹工程系,石家庄 050003,军械工程学院 导弹工程系,石家庄 050003
摘    要:测试和诊断的融合可以提高武器系统的维护效率,但是随着武器装备的升级改造就带来了原有的诊断知识难共享、诊断推理软件难以互操作、难重用,诊断功能难扩展的问题;AI-ESTATE标准规范了诊断知识和数据的标准化描述和诊断推理机的服务接口,为知识互换和软件可移植提供了条件;论文研究了面向服务的AI-ESTATE开放式故障诊断系统的体系结构和信息传递模式,分析了推理机模型管理服务和互操作服务;然后运用静态诊断模型服务关系图和UML时序图分析了AI-ESTATE服务在诊断模型编辑、索引等功能实现中的交换流程,运用动态诊断模型的UML时序图分析了AI-ESTATE互操作服务在故障诊断系统运行中推理机与其它组件的动态交互过程,为开放式AI-ESTATE智能诊断系统的开发奠定了基础。

关 键 词:AI-ESTATE  服务  诊断系统  建模
收稿时间:2016/10/5 0:00:00
修稿时间:2016/11/24 0:00:00

SERVICE-ORIENTED AI-ESTATE FAULT DIAGNOSIS SYSTEM MODELING
Fan Shuyi,Wei Baohua and Wang Cheng.SERVICE-ORIENTED AI-ESTATE FAULT DIAGNOSIS SYSTEM MODELING[J].Applied Acoustics,2017,25(3):15-17, 21.
Authors:Fan Shuyi  Wei Baohua and Wang Cheng
Institution:Missile Engineering Department ,Ordnance Engineering College, Shijiazhuang 050003,China,Missile Engineering Department ,Ordnance Engineering College, Shijiazhuang 050003,China,Missile Engineering Department ,Ordnance Engineering College, Shijiazhuang 050003,China and Missile Engineering Department ,Ordnance Engineering College, Shijiazhuang 050003,China
Abstract:The combination of test and diagnosis can improve the support efficiency of weapon system. But it brings forth the difficulty of sharing diagnosis knowledge, poor reasoner software interoperability and reuse, and low extendibility of the diagnosis system when weapon equipments are changed. AI-ESTATE standard provides the formal diagnosis knowledge and data specification to facilitate the exchange of diagnosis information, defines the diagnostic reasoner interface using services to facilitate the portability. The system framework and the communication mode of Service-oriented open AI-ESTATE diagnostic system is researched in the paper. Then model management services and reasoner manipulation services are analyzed. The services Relationship and UML sequence diagram of Static diagnostic model are applied to represent the exchange flow of AI-ESTATE service in the process of editing diagnostic model ,index model attribute and the like. UML sequence diagram of dynamic context model is applied to represent the dynamic function of reasoner manipulation services between reasoner and other components in the running of diagnostic system. These analyses of AI-ESTATE services can provide basis model for the development of open AI-ESTATE diagnostic system.
Keywords:AI-ESTATE  service  diagnostic system  modeling
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