摘要
通过对电厂热力设备故障的数学分类给出了故障诊断专家系统的一种设计方法.针对125MW汽轮机设计了一个离线的故障诊断专家系统,并进行了案例诊断仿真试验和远方诊断试验.试验表明,这种专家系统的论断正确率与精确度都很高.
Based on the classification of thermal equipment faults in power plant, we advanced a method of diagnosis expert system. Using this method we designed a off-line diagnosis expert system on 125MW steam turbine set and processed experiment remote diagnosis. The experiments show that the diagnosis results are generally correct.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1997年第4期362-368,共7页
Pattern Recognition and Artificial Intelligence
关键词
电厂
热力设备
故障诊断
专家系统
Expert, System, Diagnosis of Thermal Equipment, Fault
