基于形态非抽样小波和S变换的轧机振动信号分析

Signal analysis of rolling mill vibration based on morphological undecimated wavelets and S-transform

摘要: 为了确定板带连轧中多台轧机振动的起振顺序,首先在形态非抽样小波一般框架的基础上,构造了一种基于多尺度平均滤波器的形态非抽样小波.然后通过仿真实验,得到此形态非抽样小波尺度与频率之间的关系.最终利用基于多尺度平均滤波器的形态非抽样和S变换的方法对轧机振动信号进行分析,成功提取了故障频率的起振时间,确定了轧机的起振顺序.

Abstract: A algorithm was proposed to distinguish the initial vibration of rolling mills in tandem rolling.Firstly, a new morphological un-decimated wavelet(MUDW) based on a multi-scale average filter is developed according to the MUDW's general structure.Then the relationship between the new MUDW scale and real frequency is found by simulation experiment.Finally the time information of fault frequency from rolling mill vibration signals is extracted using the algorithm based on the new MUDW and S-transform.