矿井提升装备健康状态监测系统设计

常用根, 江帆, 陈潇

常用根,江帆,陈潇.矿井提升装备健康状态监测系统设计[J].工矿自动化,2018,44(2):38-42.. DOI: 10.13272/j.issn.1671-251x.2017090029
引用本文: 常用根,江帆,陈潇.矿井提升装备健康状态监测系统设计[J].工矿自动化,2018,44(2):38-42.. DOI: 10.13272/j.issn.1671-251x.2017090029
CHANG Yonggen, JIANG Fan, CHEN Xiao. Design of health condition monitoring system of mine hoisting equipment[J]. Journal of Mine Automation, 2018, 44(2): 38-42. DOI: 10.13272/j.issn.1671-251x.2017090029
Citation: CHANG Yonggen, JIANG Fan, CHEN Xiao. Design of health condition monitoring system of mine hoisting equipment[J]. Journal of Mine Automation, 2018, 44(2): 38-42. DOI: 10.13272/j.issn.1671-251x.2017090029

矿井提升装备健康状态监测系统设计

基金项目: 

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)

详细信息
  • 中图分类号: TD633

Design of health condition monitoring system of mine hoisting equipment

  • 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。
    Abstract: 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 can effectively monitor health condition of mine hoisting equipment.
  • 期刊类型引用(2)

    1. 谢棋军,底青云,杨永友,刘庆波,张辉,马良令. 旋转导向系统中非接触电能与信号一体化传输技术. 地球物理学报. 2023(01): 101-110 . 百度学术
    2. 杨云翠,余力俊,范成刚,刘健成,潘林粉. 含电池储能的直流配电网拓扑优化控制方法. 自动化应用. 2023(24): 195-197 . 百度学术

    其他类型引用(1)

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出版历程
  • 刊出日期:  2018-02-09

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