摘要： 本文建立了一个基于知识的汽轮发电机组在线工况监测与故障诊断系统KBTMD。该系统将传统的监测与诊断技术同智能诊断技术进行了有机的结合,采用多种诊断信息获取方式和灵活的推理与控制策略,只有良好的知识库开发与管理功能和友好的人机接口。在知识表达上采用了“框架+规则+过程”的复合表达技术,在知识组织上采用了层次组织模糊。这一系统还为开发其它旋转机械的智能诊断系统提供了一个良好的开发工具。

关键词: 故障诊断, 专家系统, 旋转机械

Abstract: Abstract A knowledge based on-line state monitor and diagnostic system is built for turbo-alterator. Tradi-tional diagnostic technique is intcrgratcd with the intelligent diagnostic technique. Several diagnostic information obtaining methods and flexible reasoning and control strategy arc adopted. The system has friendly man-machine face, and strong knowledge base management and building ability. The knowledge rcprcnscntation is "frame + rule +procedure" and the hierarchical organization model of knowledge is used in the system. The system proves helpful for the building of intelligent diagnostic system of other rotational machines.