节点文献
基于数据库框架的在线监测与故障诊断系统
Online Monitoring and Fault Diagnosis System Based on Database Framework
【Author】 Xudong ZHANG;Guofeng Wang;Mantang Hu;Shuyan Guo;School of Mechanical Engineering,Tianjin University;
【机构】 天津大学机械工程学院;
【摘要】 针对机械设备运行中的数据管理缺失、在线故障识别与溯源难的问题,设计并实现了一种基于数据库框架的机械设备在线监测与故障诊断系统。利用Microsoft Access Database构建数据库框架,以VB.net作为平台开发语言,结合Matlab、C++算法进行系统搭建,实现机械设备运行过程中的信号采集、存储、在线监测、故障诊断和专家系统分析等功能。实验结果表明,基于在线监测模块,系统能够及时识别机械设备运行的异常状态;基于故障诊断和专家系统模块,系统能够对设备进行故障溯源。
【Abstract】 Aiming at the problems of missing data management,on-line fault identification and difficult traceability in the operation of mechanical equipment,an on-line monitoring and fault diagnosis system for mechanical equipment based on the database framework is designed and implemented.Build a database framework with Microsoft Access Database,use VB.net as the platform development language,and combine Matlab and C++ algorithms to build the system to realize signal collection,storage,on-line monitoring,fault diagnosis and expert system analysis during the operation of mechanical equipment.The experimental results show that based on the online monitoring module,the system can identify the abnormal state of the mechanical equipment in time;based on the fault diagnosis and expert system modules,the system can trace the source of the equipment fault.
【Key words】 Mechanical equipment; On-line monitoring; Fault diagnosis; Database; Visual Basic.Net;
- 【会议录名称】 2023智能制造与机械动力学学术大会摘要集
- 【会议名称】2023智能制造与机械动力学学术大会
- 【会议时间】2023-07-19
- 【会议地点】中国天津
- 【分类号】TH17;TP311.13
- 【主办单位】中国振动工程学会机械动力学专业委员会、中国机械工程学会生产工程分会(机床)、中国计量测试学会在线检测技术与智能制造专业委员会、天津市智能制造与设备维护技术协会