摘要
介绍根据经验知识归纳故障和运行参数间的关系 ,对故障征兆参数实行模糊转换 ,由神经网络判断故障发生与否和故障的严重程度 ,实现了氧乐果合成控制系统的故障诊断。仿真和实际运行表明效果良好。
In accordance with the relationship between fault and operation summarized from experience knowledge, fuzzy conversion is carried out on fault symptom parameters; the possibility of fault occurrence and fault critical are judged by neural network. Thus the fault diagnostic system in synthesis control of Omethoate is implemented. The simulation and practical operation show excellent effects.
出处
《自动化仪表》
CAS
北大核心
2002年第12期44-47,共4页
Process Automation Instrumentation
基金
河南省自然科学基金项目 (编号 :0 1 1 1 0 60 30 0 )
