基于形态非抽样小波和S变换的轧机振动信号分析
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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.
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.
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.
引文
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[3]Li C Z,He R J,Tian G M.Research on the application of the mathematical morphology filtering in vibration signal analysis.Comput Eng Sci,2008,30(9):126 (李春枝,何荣建,田光明.数学形态滤波在振动信号分析中的应用研究.计算机工程与科学,2008,30(9):126)
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[5]Zhang L J,Li M,Yang J H,et al.Compression method of electrical signals from rolling mills based on adaptive morphological wavelets.J Univ Sci Technol Beijing,2011, 33(3):353 (章立军,黎敏,阳建宏,等.基于自适应形态小波的轧机电气信号压缩方法.北京科技大学学报,2011,33(3):353)
[6]Zhang Y P,Gai Q.Application of S-transform in rolling bearing fault diagnosis.Appl Sci Technol,2011,38(7):26 (张云鹏,盖强.S变换在滚动轴承故障诊断上的应用.应用科技,2011,38(7):26)
[7]Liu Q,Zhang J.Application of S transform in analysis of strain changes before and after Wenchuan earthquake.J Geodesy Geodyn,2011,31(4):6 (刘琦,张晶.S变换在汉川地震前后应变变化分析中的应用.大地测量与地球动力学,2011,31(4):6)
[8]Yang H T,Zhu S J,Yang A G,et al.Application research on time variable filtering with S-transform in denoising processing.J Southwest Pet Univ Sci Technol Ed,2009, 31(6):56 (杨海涛,朱仕军,杨爱国,等.S变换时变滤波在去噪处理中的应用研究.西南石油大学学报:自然科学版,2009, 31(6):56)
[9]Yang X Y,Zhou X J,Zhang W B,et al.Rolling bearing fault feature extraction based on morphological wavelet and S-transform.J Zhejiang Univ Eng Sci,2010, 44(11):2088 (杨先勇,周晓军,张文斌,等.基于形态小波和S变换的滚动轴承故障特征提取.浙江大学学报:工学版,2010, 44(11):2088)
[10]Chen X H,He Z H,Huang D J.Signal extracting and denoising based on generalized S-transform.J Chengdu Univ Technol Sci Technol Ed,2006,33(4):331 (陈学华,贺振毕,黄德济.基于广义S变换的信号提圾与抑噪.成都理工大学学报:自然科学版,2006,33(4): 331)
[2]Zhang S J,Zhao X P.Research of morphology-based recognition method for digital symbol image skeleton. Comput Era,2010(5):38 (张胜军,赵雪萍.基于形态学的数字符号图像骨架的识别方法研究.计算机时代,2010(5):38)
[3]Li C Z,He R J,Tian G M.Research on the application of the mathematical morphology filtering in vibration signal analysis.Comput Eng Sci,2008,30(9):126 (李春枝,何荣建,田光明.数学形态滤波在振动信号分析中的应用研究.计算机工程与科学,2008,30(9):126)
[4]Zhang L J,Yang J H,Xu J W,et al.Morphological undecimated wavelet and its application to feature extraction of impulsive signal.J Vib Shock,2007,26(10):56 (章立军,阳建宏,徐金梧,等.形态非抽样小波及其在冲击信号特征提取中的应用.振动与冲击,2007,26(11):56)
[5]Zhang L J,Li M,Yang J H,et al.Compression method of electrical signals from rolling mills based on adaptive morphological wavelets.J Univ Sci Technol Beijing,2011, 33(3):353 (章立军,黎敏,阳建宏,等.基于自适应形态小波的轧机电气信号压缩方法.北京科技大学学报,2011,33(3):353)
[6]Zhang Y P,Gai Q.Application of S-transform in rolling bearing fault diagnosis.Appl Sci Technol,2011,38(7):26 (张云鹏,盖强.S变换在滚动轴承故障诊断上的应用.应用科技,2011,38(7):26)
[7]Liu Q,Zhang J.Application of S transform in analysis of strain changes before and after Wenchuan earthquake.J Geodesy Geodyn,2011,31(4):6 (刘琦,张晶.S变换在汉川地震前后应变变化分析中的应用.大地测量与地球动力学,2011,31(4):6)
[8]Yang H T,Zhu S J,Yang A G,et al.Application research on time variable filtering with S-transform in denoising processing.J Southwest Pet Univ Sci Technol Ed,2009, 31(6):56 (杨海涛,朱仕军,杨爱国,等.S变换时变滤波在去噪处理中的应用研究.西南石油大学学报:自然科学版,2009, 31(6):56)
[9]Yang X Y,Zhou X J,Zhang W B,et al.Rolling bearing fault feature extraction based on morphological wavelet and S-transform.J Zhejiang Univ Eng Sci,2010, 44(11):2088 (杨先勇,周晓军,张文斌,等.基于形态小波和S变换的滚动轴承故障特征提取.浙江大学学报:工学版,2010, 44(11):2088)
[10]Chen X H,He Z H,Huang D J.Signal extracting and denoising based on generalized S-transform.J Chengdu Univ Technol Sci Technol Ed,2006,33(4):331 (陈学华,贺振毕,黄德济.基于广义S变换的信号提圾与抑噪.成都理工大学学报:自然科学版,2006,33(4): 331)
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