上海交通大学学报

上海交通大学学报（自然版）

• 自动化技术、计算机技术 • 上一篇    下一篇

基于测试事件图的故障诊断系统知识获取技术

宣建强1，李清东1，江加和1，任章1，陈璐璐2
  

  1. (1.北京航空航天大学 自动化科学与电气工程学院， 北京 100191；2.空军装备研究院 通信所， 北京 100085)
  • 收稿日期:2010-08-27 修回日期:1900-01-01 出版日期:2011-02-28 发布日期:2011-02-28

Knowledge Acquisition Techniques of Fault Diagnosis System Based on Test Event Graph

XUAN Jianqiang1，LI Qingdong1，JIANG Jiahe1，REN Zhang1，CHEN Lulu2
  

  1. (1.School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;2.Communication Institute, Airforce Armament Academy, Beijing 100085, China)
  • Received:2010-08-27 Revised:1900-01-01 Online:2011-02-28 Published:2011-02-28

摘要： 针对运载火箭故障诊断专家系统知识获取难度大这一问题，提出了一种基于测试事件图的知识获取方法，通过设置合理的图形组件，绘制出的测试事件图，可完整地表示运载火箭测试流程；通过设计转化算法，可将测试事件图自动转化为故障诊断专家系统知识库中的知识.这种基于测试事件图的知识获取方法可以有效地简化知识获取的难度，便于工程技术人员理解和使用.经过仿真测试，此方法工程应用效果良好.

关键词: 运载火箭, 故障诊断专家系统, 知识获取, 时序逻辑, 测试事件图

Abstract: As the difficulty of knowledge acquisition restricts the application of launch vehicle fault diagnosis expert system, a knowledge acquisition method based on test event graph was proposed. By setting a reasonable graphics components, drawing out the test event graph, it can well represent the testing process of launch vehicle, then designing the algorithm that can automatically translate the test event graph into the knowledge of expert system knowledge base. This graphical method can effectively simplify the difficulty of knowledge acquisition, and is easy to understand and use. Through the testing, this method has good prospect for engineering application.

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