仪器故障诊断方法研究与软件实现  

Research on Instrument Fault Diagnosis Method and Software Implementation

作　　者：高业欣 臧石磊[1] 刘天龙[1] 刘健男 侯作亮[1] GAO Ye-xin;ZANG Shi-lei;LIU Tian-long;LIU Jian-nan;HOU Zuo-liang(Liaoning Earthquake Agency,Liaoning Shenyang 110034,China)

机构地区：[1]辽宁省地震局,辽宁沈阳110034

出　　处：《防灾减灾学报》2022年第3期58-62,共5页Journal of Disaster Prevention And Reduction

基　　金：中国地震局监测、预报、科研三结合课题:仪器故障智能检测方法研究(3JH-201901095)。

摘　　要：针对地球物理台网故障率较高的SSY型伸缩仪前置放大盒和主机,开展基于模型和专家系统集成的故障诊断方法研究,更好地将领域专家经验、仪器运行大数据分析结果表示判定规则,充分发挥了各诊断方法的优点,提高了诊断系统的智能水平和诊断效率。开发了面向对象的专家系统管理平台(推理机),该平台采用图形化指导界面代替文字描述,用户界面友好,达到了预期目的。In this paper,a fault diagnosis method based on model and expert system integration is studied for SSY instrument with high fault rate,the domain expert experience and the result of large data analysis can be expressed as object knowledge better,and the advantages of each diagnosis method can be brought into full play,so the intelligence level and diagnosis efficiency of the diagnosis system can be improved.An object-oriented Expert System Management Platform(reasoning machine)is developed,which uses graphical guidance interface instead of text description,and the user interface is friendly.

关 键 词：仪器故障 智能检测 决策系统 

分 类 号：P315.69[天文地球—地震学]