摘要
设备预知维护是矿山设备管理的发展趋势。文章介绍了大型矿山机电设备远程健康诊断系统(简称为4M系统)的功能模块组成,分别从设备日常管理、设备在线监测、设备故障模拟以及预知维护模型等方面阐述了所在研究团队的相关进展,同时还分析了该系统在现场应用中存在的不足及解决方法,对煤矿设备管理实现预知维护提供了很好的指导作用。
Predictive maintenance is the tendency of equipment maintenance in coal mine. Remote health diagnosis system of important mechanical electronic equipment in coal mine （abbreviated as 4M System） was introduced, and related research development on equipment normal maintenance, on - line monitoring, malfunction simulation, predictive maintenance model, and the shortage existed in field operation, were summarized and detailed, to offer direction and guidance on coal mine equipment maintenance.
出处
《煤炭工程》
北大核心
2014年第5期139-142,共4页
Coal Engineering
基金
国家自然科学基金联合基金项目(U1361127)
关键词
设备管理
预知维护
远程健康诊断
矿山机电设备
equipment maintenance
predictive maintenance
remote health diagnosis
mine electromechanical equipment
