除氧器故障自诊断专家系统设计与研发  

Design and Development of New Method of Deaerator Fault Self-diagnosis Expert System

作　　者：牛百芳 张洪星 辛浩[2] 姚一鸣[2] 

机构地区：[1]华电宿州发电厂,安徽宿州234000 [2]上海电力学院,上海200090

出　　处：《上海电力学院学报》2013年第1期73-76,共4页Journal of Shanghai University of Electric Power

摘　　要：提出了一种基于传统报警方式触发的电站故障自诊断专家系统.以除氧器为诊断对象,采用报警状态信息触发专家推理过程,利用实时征兆以及规则库进行故障类型的有效实时诊断.现场测试表明,诊断结果准确,且具有一定的容错性.A power plant fault-located self-diagnosis expert system based on the traditional alarm triggering is proposed. With the deaerator as the object of diagnosis, it applies the information of a- larm status to trigger expert inference, through real-time symptoms and rule base to diagnose the type of faults on line at the same time. Field tests show that in addition to the accurate diagnosis, it also has a good fault tolerance.

关 键 词：故障诊断 专家系统 报警触发 故障征兆 

分 类 号：TK223.522[动力工程及工程热物理—动力机械及工程] TK228