Instantaneous frequency identification based on data-driven adaptive variational nonlinear chirp mode decomposition

被引：0

作者：

Yuan, Pingping ^{[1
]}

Man, Zhen ^{[2
]}

Zhao, Zhoujie ^{[1
]}

Ren, Weixin ^{[3
]}

机构：

[1] School of Civil Engineering and Architecture, Jiangsu University of Science and Technology, Zhenjiang

[2] China Construction Second Engineering Bureau Ltd., Beijing

[3] College of Civil and Transportation Engineering, Shenzhen University, Shenzhen

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2024年 / 43卷 / 20期

关键词：

data-driven adaptive variational nonlinear chirp mode decomposition (DDAVNCMD); derivative normalization; instantaneous frequency; iterative time-varying filter; variational nonlinear chirp mode decomposition (VNCMD);

D O I：

10.13465/j.cnki.jvs.2024.20.003

中图分类号：

学科分类号：

摘要：

To reduce the impact of initial instantaneous frequency and signal noise on the variational nonlinear chirp mode decomposition (VNCMD), a data-driven adaptive variational nonlinear chirp mode decomposition (DDAVNCMD) was proposed in this paper. The modal number of the response signal was obtained by the proportion of modal energy, and the derivative normalization algorithm was used to preliminarily estimate the initial instantaneous frequencies of the modal components. An iterative time-varying filter was also added to reduce the noise effect. Based on this, the response signal was then subjected to VNCMD. The proposed method was validated through single-component and multicomponent. analytic signals, as well as a cable structure experiment. The research results indicate that the instantaneous frequency identification method based on DDAVNCMD has good accuracy and anti-noise performance. © 2024 Chinese Vibration Engineering Society. All rights reserved.

引用

页码：18 / 25

页数：7