基于电机电流分析法及能量特征向量的摩擦实验

发布时间：2018-11-15 13:10

【摘要】：对机床类设备的摩擦状态的监测是设备运行过程的一个重要环节。针对机床类设备运行过程中摩擦状态的变化,提出基于电机电流分析法及能量特征向量对摩擦状态进行测试和分析,利用电流信号的小波包变换节点系数重构各频带信号,计算各信号的能量值,构造能量特征向量。通过分析不同时刻各频带信号的能量值,提取包含摩擦信息的特征值能量值,以此作为分析与监测摩擦状态的特征量。实验表明,分析摩擦特征量的变化曲线,可以获得设备工作过程的摩擦状态,有利于实现摩擦状态的在线监测。
[Abstract]:The monitoring of the friction state of machine tools is an important link in the operation process of machine tools. Aiming at the change of friction state in machine tool equipment, the friction state is tested and analyzed based on motor current analysis method and energy eigenvector. The wavelet packet transform node coefficient of current signal is used to reconstruct each frequency band signal. The energy value of each signal is calculated and the energy eigenvector is constructed. By analyzing the energy values of each frequency band signal at different times, the eigenvalue energy value containing friction information is extracted, which is used as the eigenvalue to analyze and monitor the friction state. The experimental results show that the friction state of the equipment can be obtained by analyzing the variation curve of the friction characteristic quantity, which is helpful to realize the on-line monitoring of the friction state.
【作者单位】：宁波大学机械工程与力学学院;
【基金】：浙江省自然科学基金(LY12E09001) 宁波市自然科学基金(2015A610150)资助项目宁波市重点学科资助项目(XK115D223)
【分类号】：TH17

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