分数阶域滤波在启停车过程转频振动分量提取中的应用  

Extracting Fundamental Frequency During Rotating Machine Start-Up or Shut-Down via Fractional Domain Filtering

作　　者：张西宁[1] 郭金良[1] 吴吉利[1] 

机构地区：[1]西安交通大学机械制造系统工程国家重点实验室,西安710049

出　　处：《西安交通大学学报》2013年第11期92-96,共5页Journal of Xi'an Jiaotong University

基　　金：国家重点基础研究发展规划资助项目(2009CB724405)

摘　　要：针对启停车过程中振动信号倍频分量对转频分量幅值和相位的影响问题,提出了一种基于分数阶域滤波提取转频振动分量的方法。该方法把分数阶傅里叶变换引入到回转机械启停车过程振动信号的预处理中,消除其他倍频振动分量的影响,提取出反映失衡信息的转频分量。仿真信号和实验测试信号的分析结果表明,与其他方法相比,分数阶域滤波更适合处理启停车过程的振动信号,能够有效地去除倍频和噪声信号的干扰,提取出平整的转频振动分量。该算法简单,易实现,为回转机械失衡信息的预处理提供了一种有力手段。To investigate the influences of harmonic components on amplitude and phase of fundamental frequency during rotating machine start-up or shut-down,a method for extracting the fundamental frequency component by fractional Fourier transformation is proposed,and the fundamental frequency component in vibration signal is extracted on a rotor test rig.Compared with the other methods,the fractional domain filtering enables to effectively remove the interference from harmonic components for extracting smooth fundamental frequency components during start-up or shut-down.The proposed method is applicable to preprocess of unbalancing information of rotating machines.

关 键 词：分数阶傅里叶变换 滤波 启停车过程 回转机械 

分 类 号：O329[理学—一般力学与力学基础]