洗煤厂机械设备健康模式库的建立

Establishment of Healthy Pattern Library of Mechanical Equipments in Coal Washery

利用经验模态分解方法对洗煤厂设备的振动信号进行分析。得出健康状况下和非健康状况下特征向量值的不同。实验显示特征向量可以很直观地反应设备的运行状态,可以根据特征向量为洗煤厂机械设备建立健康模式库,为工作人员提供直观的数字化信息。

(empirical mode decomposition,EMD)is used to analyze vibration signals of mechanical equipments in coal washery.Different vector-valued characteristics under healthy condition and unhealthy condition were extracted.The experiment showed that vector-valued characteristics directly reflected running states of the equipments.Accordingly healthy pattern library of mechanical equipments in coal washery could be established based on vector-valued characteristics and the library would provide intuitive digital information for the staff.