噪声与振动控制2018，Vol.38Issue(1)：204-208,5.DOI:10.3969/j.issn.1006-1355.2018.01.040
基于谱峭度与变分模态分解的转子微弱不对中故障诊断
Fault Diagnosis of Weak Misalignment of Rotors Based on Spectral Kurtosis and VMD
摘要
Abstract
It is difficult to extract the fault features of weak misalignment of rotors under noise interference. In this paper, a rotor fault diagnosis method is proposed based on Spectral Kurtosis and variational mode decomposition(VMD). Firstly,Spectral Kurtosis is used to filter out the signal background noise to enhance the fault characteristic correlation signal components.Then,the VMD is used to decompose the signal into a series of IMFs(Intrinsic Mode Function).Finally,the frequency spectrums of the IMFs are calculated to extract the fault feature of the rotor.The proposed method is applied to misalignment data processing of the rotors. The results show that the proposed diagnosis method can extract the fault features of the weak misalignments of rotors effectively and accurately, and is superior to the diagnosis method based on Spectral Kurtosis and empirical mode decomposition(EMD)only.关键词
振动与波/变分模态分解/谱峭度/转子/故障诊断Key words
vibration and wave/variational mode decomposition/spectral kurtosis/rotor/fault diagnosis分类
机械制造引用本文复制引用
唐贵基,王菲,周福成,赵晨..基于谱峭度与变分模态分解的转子微弱不对中故障诊断[J].噪声与振动控制,2018,38(1):204-208,5.基金项目
河北省自然科学基金资助项目(E2014502052) （E2014502052）
中央高校基本科研业务费专项资金资助项目(2017MS188) （2017MS188）
