A joint sparse reconstruction method for mechanical vibration signals based on multi-measurement vector model

doi:10.13465/j.cnki.jvs.2021.01.033

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	A joint sparse reconstruction method for mechanical vibration signals based on multi-measurement vector model
	Guo, Junfeng; Wang, Zhuo
刊名	Zhendong yu Chongji/Journal of Vibration and Shock
	2021-01-15
卷号	40 期号:1 页码:254-263
关键词	Particle swarm optimization (PSO) Vibrations (mechanical) Measurement information Mechanical equipment Mechanical vibration signals Particle activation Particle swarm optimization algorithm Reconstruction error Reconstruction method Sparse reconstruction
ISSN号	10003835
DOI	10.13465/j.cnki.jvs.2021.01.033
英文摘要	Aiming at mechanical equipment becoming more and more intelligent, high-speed, integrated and complicated, The traditional compressed sensing model (single measurement vector) obtains single measurement information, it needs measuring at different monitoring points to obtain multiple signal data, it wastes time and ignores signal correlation between different monitoring points on the same machine. Here, to make full use of inter-signals and intra-signal correlations and further reduce redundancy and sampling time, a joint sparse reconstruction method for mechanical vibration signals based on the multi-measurement vector model was proposed. The design of the reconstruction method was studied emphatically. Firstly, based on the particle swarm optimization algorithm, the initial solution was solved with the time sparse Bayesian algorithm. Then, the pruning technique of the greedy algorithm combined with the adaptive particle activation mechanism was used to do position updating and search the optimal solution. Finally, the vibration signal was reconstructed accurately. Test results showed that compared with other methods, this method can effectively recover mechanical vibration signal and the reconstruction error is relatively smaller. © 2021, Editorial Office of Journal of Vibration and Shock. All right reserved.
语种	中文
出版者	Chinese Vibration Engineering Society
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/147190]
专题	机电工程学院
作者单位	School of Mechanical and Electronic Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Guo, Junfeng,Wang, Zhuo. A joint sparse reconstruction method for mechanical vibration signals based on multi-measurement vector model[J]. Zhendong yu Chongji/Journal of Vibration and Shock,2021,40(1):254-263.
APA	Guo, Junfeng,&Wang, Zhuo.(2021).A joint sparse reconstruction method for mechanical vibration signals based on multi-measurement vector model.Zhendong yu Chongji/Journal of Vibration and Shock,40(1),254-263.
MLA	Guo, Junfeng,et al."A joint sparse reconstruction method for mechanical vibration signals based on multi-measurement vector model".Zhendong yu Chongji/Journal of Vibration and Shock 40.1(2021):254-263.