A Method for Extracting Friction Characteristic of Rail with EMD Energy Value
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摘要: 针对机床类设备加速度传感器安装不便的实际情况,以机床电机负荷电流为分析对象,提出了应用经验模态分解(empirical mode decomposition,EMD)和本征模态函数(intrinsic mode function,IMF)能量值的摩擦特征提取方法,间接分析摩擦振动和摩擦磨损状态特性。设计对比实验获取4组传动链电流信号,利用EMD分解电流信号获得系列IMF,计算各阶IMF分量单位时间内能量值,提取摩擦振动对应的边频带和摩擦特征值E(IMF3)。实验表明,通过摩擦特征值E(IMF3)变化曲线可以观察出导轨磨损状态经历的4个时期,实现在线监测导轨磨损状态的目的。Abstract: Aiming at the inconveniently installation of acceleration sensor in the machine tool equipment, the friction characteristic was extracted with the empirical mode decomposition (EMD) and the intrinsic mode function (IMF) energy method for signal processing, and the friction and wear characteristics was analyzed. Firstly, the contrast experiments were designed to obtain the current signals for of the four groups of transmission chains. Secondly, the current signals were decomposed into a finite number of IMF. Finally, the edge frequency band and friction characteristic values E(IMF3) were extracted by calculating energy per unit time of IMF component of each order. The experimental results show that the four stages of wear states can be obtained by changing the E(IMF3) curve, and the purpose of on-line monitoring for the wear states of the guide rail was realized.
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