VMD方法在旋转机械振动信号处理中的研究  

Research on VMD Method in Vibration Signal Processing of Rotating Machinery

作　　者：骆东松[1] 张树涛 LUO Dongsong;ZHANG Shutao(School of Electrical Engineering and Information Engineering,Lanzhou University of Technology,Lanzhou 730050)

机构地区：[1]兰州理工大学电气工程与信息工程学院,兰州730050

出　　处：《计算机与数字工程》2022年第9期2093-2096,共4页Computer & Digital Engineering

摘　　要：针对工作在环境复杂的旋转机械,提取的机械振动信号存在很强的噪音,系统信号和干扰噪声在频带上互相混叠,采用传统的降噪方法存在较大局限性。因此,论文提出基于变分模态分解(VMD)的故障诊断方法来消除噪音。针对VMD方法从原理上提出参数K、α、τ的确定方法,从而降低传统去噪的工作量,提高效率和可靠性等优势。For rotating machinery working in a complex environment,the extracted mechanical vibration signal has strong noise,and the system signal and interference noise are aliased with each other in the frequency band,and the traditional noise reduction method has great limitations. Therefore,this article proposes a fault diagnosis method based on variational modal decomposition(VMD)to eliminate noise. According to the VMD method,a method to determine the parameters K,α,and τ is proposed in principle,so as to reduce the workload of traditional denoising and improve the efficiency and reliability.

关 键 词：振动信号 故障特征 降噪 变分模态分解 

分 类 号：TH133.33[机械工程—机械制造及自动化]