Research on the Fault Feature Extraction Method of Rotor Systems Based on GAW-PSO

doi:10.1155/2020/9296720

CORC > 兰州理工大学 > 兰州理工大学

	Research on the Fault Feature Extraction Method of Rotor Systems Based on GAW-PSO
	Miao, Feng 1; Zhao, Rongzhen 2; Wang, Xianli 1
刊名	Mathematical Problems in Engineering
	2020
卷号	2020
关键词	Computational complexity Dynamics Extraction Feature extraction Matrix algebra Particle swarm optimization (PSO) Blind separation of signals Fault feature extractions Genetic hybridization Mechanical signals Negative entropies Objective functions Particle swarm optimization method Population diversity
ISSN号	1024123X
DOI	10.1155/2020/9296720
英文摘要	In order to solve the problem of blind separation of signals from dynamic hybrid rotor systems, this paper proposed an improved adaptive inertial weight particle swarm optimization method based on genetic mechanism. The method takes the negative entropy of separated signal as the objective function and adaptively adjusts the inertia weight according to the difference of particle fitness, thus reducing the number of invalid iterations. At the same time, genetic hybridization mechanism was introduced to increase population diversity and facilitate the processing of dynamic mixed signals. The orthogonal matrix is expressed as a parameterized form, which can reduce the complexity of the algorithm. The simulation results showed that the performance of the proposed method is better than that of the traditional method for blind separation of dynamic hybrid analog mechanical signals. It can separate the actual dynamic rotor system signals and achieve the purpose of fault feature extraction. © 2020 Feng Miao et al.
WOS研究方向	Engineering ; Mathematics
语种	英语
出版者	Hindawi Limited, 410 Park Avenue, 15th Floor, 287 pmb, New York, NY 10022, United States
WOS记录号	WOS:000522258400012
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115417]
专题	兰州理工大学
作者单位	1.School of Physical and Electrical Information, Luoyang Normal University, Luoyang; 471022, China; 2.Key Laboratory of Digital Manufacturing Technology and Application, Ministry of Education, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Miao, Feng,Zhao, Rongzhen,Wang, Xianli. Research on the Fault Feature Extraction Method of Rotor Systems Based on GAW-PSO[J]. Mathematical Problems in Engineering,2020,2020.
APA	Miao, Feng,Zhao, Rongzhen,&Wang, Xianli.(2020).Research on the Fault Feature Extraction Method of Rotor Systems Based on GAW-PSO.Mathematical Problems in Engineering,2020.
MLA	Miao, Feng,et al."Research on the Fault Feature Extraction Method of Rotor Systems Based on GAW-PSO".Mathematical Problems in Engineering 2020(2020).