摘要
自适应信号分解领域一个十分活跃的分支——变分模式分解(VMD)已经成为信号处理与检测技术学界一个热门的研究方向。VMD对非平稳、非线性信号具有良好的处理效果。针对VMD模型及其参数选择,发展了许多拓展模型及参数优化方法。本文回顾近十年来VMD的研究进展,对相关的文献进行总结与分析。首先,分析VMD的原理性优势及其在各个领域的应用潜力;其次,根据模型对不同信号类型的匹配能力,分类总结VMD拓展模型的不同特性和适用场景;然后,归纳VMD及其拓展模型参数优化方法的研究现状,探讨与分析不同模型参数优化方法的特点和最新研究趋势;最后,对VMD的未来发展提出6点展望,为后续的研究指明方向。
Variational mode decomposition(VMD),a very active branch in the field of adaptive signal decomposition,has become a hot research direction in the field of signal processing.VMD shows good performance in processing non-stationary and nonlinear signals.Aiming at VMD model and its parameter selection,many extended models and parameter optimization methods have been studied.This article reviews the research progress of VMD in recent decade,summarizes and analyzes the relevant literature.Firstly,it analyzes the principle advantages of VMD and its application potential in various fields.Secondly,according to the matching ability of the model to different signal types,the different characteristics and applicable scenarios of extended models of VMD are summarized by classification.Then,the research progress of parameter optimization methods for VMD and its extended models are summarized to discuss and analyze the characteristics of different model parameter optimization methods and the latest research trends.Finally,6 prospects are put forward for the future development of VMD,pointing out the direction for subsequent research.
作者
江星星
宋秋昱
杜贵府
黄伟国
朱忠奎
Jiang Xingxing;Song Qiuyu;Du Guifu;Huang Weiguo;Zhu Zhongkui(School of Rail Transportation,Soochow University,Suzhou 215131,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2023年第1期55-73,共19页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金项目(52172406,51875376)
中国博士后科学基金(2021M702752,2022T150552)
苏州市重点产业技术创新项目(SYG202111)
城市轨道交通车辆服役性能保障北京市重点实验室开放课题(PGU2020K008)项目资助
关键词
检测技术
变分模式分解
模式分解数目
带宽平衡参数
中心频率
detection technology
variational mode decomposition
number of decomposed modes
bandwidth balance parameter
center frequency