哈尔滨工程大学学报2024，Vol.45Issue(5)：825-832,8.DOI:10.11990/jheu.202205050
基于变分模态分解和希尔伯特变换的转子非平稳信号故障特征识别
Fault feature identification for rotor nonstationary signals based on VMD-HT
摘要
Abstract
The Hilbert-Huang transform(HHT)is a most representative time-frequency analysis method.To improve the time-frequency analysis performance of the traditional HHT in processing complex nonstationary sig-nals,herein,variational mode decomposition(VMD)and Hilbert transform(HT)are combined to form a new time-frequency analysis method of VMD-HT.Moreover,to automatically tune the parameter of the mode number in VMD,a parameter optimization method based on the correlation coefficient is proposed,which effectively solves the problems of insufficient decomposition and excessive decomposition of signals due to the unreasonable setting of the mode number of VMD.The time-frequency analysis performance of VMD-HT is validated using rotor fault signals,and comparisons with the traditional HHT highlight the advantages of this method in processing nonstationary signals.关键词
转子/非平稳信号/变分模态分解/希尔伯特黄变换/特征识别Key words
rotor/nonstationary signal/variational mode decomposition(VMD)/Hilbert-Huang transform(HHT)/feature identification分类
机械制造引用本文复制引用
朱少民,夏虹,尹文哲,王志超,张汲宇..基于变分模态分解和希尔伯特变换的转子非平稳信号故障特征识别[J].哈尔滨工程大学学报,2024,45(5):825-832,8.基金项目
国家自然科学基金项目(U21B2083) （U21B2083）
国防科技工业核动力技术创新中心项目(HDLCXZX-2021-ZH-019). （HDLCXZX-2021-ZH-019）
