摘要
针对现有矿井提升装备健康状态监测系统采取单一的信号进行状态监测,易出现误判的问题,设计了基于信号融合的矿井提升装备健康状态监测系统。该系统分别采集矿井提升装备运行过程中的主轴扭矩信号、轴承座振动信号及钢丝绳张力信号,使用决策级的信号融合方法在主控上位机中进行计算融合,并显示融合判断结果。测试结果表明,该系统能够有效监测矿井提升装备健康状态。
In view of problem that health condition monitoring system of existing mine hoist equipment uses a single signal for condition monitoring which easily leads to misjudgment,health condition monitoring system of mine hoisting equipment based on signal fusion was designed.The system collects spindle torque signal,bearing vibration signal and wire rope tension signal during operation of mine hoisting equipment respectively.The signal fusion method of decision level was used to calculate and fuse in host computer,and fusion judgment result was displayed.The test results show that the system caneffectively monitor health condition of mine hoisting equipment.
出处
《工矿自动化》
北大核心
2018年第2期38-42,共5页
Journal Of Mine Automation
基金
国家重点基础研究发展计划(973计划)项目(2014CB049404)
国家自然科学基金项目(51605478)
中国博士后科学基金面上资助项目(2016M590513)
关键词
矿井提升装备
健康状态监测
信号融合
主轴扭矩
轴承座振动
钢丝绳张力
mine hoisting equipment
health condition monitoring
signal fusion
spindle torque
bearing vibration
wire rope tension
