基于本体的离心泵故障智能诊断系统开发  

Development of Intelligent Diagnosis System for Centrifugal Pump Fault Based on Ontology

作　　者：王宇飞 李彦军 杨玺庆 马高峰 WANG Yu-fei;LI Yan-jun;YANG Xi-qing;MA Gao-feng(Lanzhou Petrochemical University of Vocational Technology,Lanzhou 730060,China)

机构地区：[1]兰州石化职业技术大学,甘肃兰州730060

出　　处：《石油化工设备》2023年第5期9-15,共7页Petro-Chemical Equipment

基　　金：甘肃教育科技创新项目(2020A-197)。

摘　　要：介绍了工业设备故障诊断技术研究概况,分析了离心泵故障智能诊断系统研究开发的意义,针对当前离心泵状态监测和智能诊断系统开发的复杂性和可维护性、相关应用领域知识库不健全且构建方法单一等问题,通过系统分析离心泵机组典型故障的形成机理、诊断方法和维修技术,采用本体知识构建了离心泵机组的领域知识图谱,结合生产实际搭建了硬件采集系统,开发了软件诊断系统,实现了离心泵机组运行时振动信号的在线监测和故障诊断,用具体故障实例验证了系统的有效性。The research situation of fault diagnosis technology for industrial equipment was introduced,and the significance of research and development of intelligent diagnosis systems for centrifugal pumps fault was analyzed.In view of the complexity and maintainability of the current development of centrifugal pump condition monitoring and intelligent diagnosis system,the imperfect knowledge base in related application fields and the single construction method,the formation mechanism,diagnosis method,and maintenance technology of typical faults of centrifugal pump unit were systematically analyzed.The domain knowledge map of the centrifugal pump unit was constructed by using ontology knowledge.The hardware acquisition system was built in combination with the actual production,and the software diagnosis system was developed.The online monitoring and fault diagnosis of vibration signals during the operation of the centrifugal pump unit was realized,and the effectiveness of the system was verified by specific fault examples.

关 键 词：离心泵 故障 诊断系统 智能 本体 知识图谱 开发 

分 类 号：TQ051.21[化学工程]