矿山机电设备故障诊断分析与研究  

Analysis and Research on Fault Diagnosis of Mine Electromechanical Equipment

作　　者：孟杰 赵初峰 Meng Jie;Zhao Chufeng(CCTEG China Coal Research Institute,Beijing 100013,China;Coal Mine Emergency Avoidance Technology and Equipment Engineering Research Center,Beijing 100013,China;Beijing Coal Mine Safety Engineering Technology Research Center,Beijing 100013,China)

机构地区：[1]煤炭科学技术研究院有限公司,北京100013 [2]煤矿应急避险技术装备工程研究中心,北京100013 [3]北京市煤矿安全工程技术研究中心,北京100013

出　　处：《煤矿机械》2022年第5期159-161,共3页Coal Mine Machinery

基　　金：煤炭科学技术研究院有限公司技术创新基金(2021CX-Ⅰ-11-02)。

摘　　要：在分析矿山机电设备常见典型故障的基础上,建立了一种在线故障诊断分析系统,用于评估设备状态,早期发现并跟踪设备故障,为设备故障预示和制定维修策略提供技术支持,实现由事后维修向预知检修的转变,避免意外事故停机,从而提高设备整体运行的安全性和可靠性,大幅延长使用寿命,节约生产成本,同时实现现场设备无人化检测,为企业的无人化、智能化、现代化巡检打下基础。Based on the analysis of the mine common typical fault types,an online fault diagnosis and analysis system was established to evaluate the equipment status,find and track equipment faults early,provide technical support for equipment fault prediction and formulation of maintenance strategy,realize the transformation from post maintenance to pre maintenance,and avoid accidental shutdown,so as to improve the safety and reliability of the overall operation of the equipment,greatly prolong the service life,save the production cost,realize the unmanned detection of on-site equipment,and lay the foundation for the unmanned,intelligent and modern patrol inspection of the enterprise.

关 键 词：故障诊断 在线监测 事后维修 预知检修 

分 类 号：TD67[矿业工程—矿山机电]