摘要
针对煤矿掘进机机电设备传统故障诊断方法效率较低、故障识别较为困难、潜在故障无法及时发现等问题,本文对煤矿掘进机机电设备故障诊断与维护技术进行研究。在分析了掘进机关键结构常见故障和监测方法的基础上,提出了煤矿掘进机故障监测与智能诊断系统,完成硬件系统选型和软件控制系统设计,实现了对掘进机机电设备运行状态实时监控和远程运维,转被动维护为主动维护,提高了设备运行可靠性,降低了设备维护成本,提高了机电设备故障诊断效率。经安装调试后表明:当掘进机关键部位出现异常现象时可准确识别,并且故障响应时间仅为1.28 s,故障发现率达97.8%,对潜在故障准确识别和判断,智能诊断系统极大提高了设备故障诊断效率,故障排除时间降低为97.3%。
In view of the problems such as low efficiency,difficulty in fault identification and failure of potential faults in time,this paper studies the fault diagnosis and maintenance technology of mechanical and electrical equipment of coal mine boring header.On the basis of analyzing the key structure common faults and monitoring method,put forward the coal mine boring machine fault monitoring and intelligent diagnosis system,complete hardware system selection and software control system design,implements the boring machine mechanical and electrical equipment running state real-time monitoring and remote operations,turn passive maintenance for active maintenance,greatly improve the equipment operation reliability,reduce the equipment maintenance cost,improve the efficiency of mechanical and electrical equipment fault diagnosis.debugging shows that when key parts appear abnormal trend can accurately identify,and fault response time is only 1.28s,fault discovery rate of 97.8%,accurate identification and judgment of potential faults,intelligent diagnosis system greatly improve the efficiency of equipment fault diagnosis,troubleshooting time reduced to 97.3%.
作者
刘晓峰
LIU Xiaofeng(Shanxi Lanhua Technology Entrepreneurship Co.,Ltd.Bofang Coal Mine Branch,Jincheng 048400,China)
出处
《煤矿现代化》
2025年第1期47-51,共5页
Coal Mine Modernization
关键词
掘进机
机电设备
故障诊断
远程运维
roadheader
mechanical and electrical equipment
fault diagnosis
remote operation and maintenance
