The investigation of fault diagnosis based on GA-HPSO-NN

doi:10.4304/jcp.7.10.2511-2517

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	The investigation of fault diagnosis based on GA-HPSO-NN
	Peng, Bin 1,2; Hu, Chang-an 1,2; Zhao, Rong-zhen 1,2; Zheng, Yu-qiao 1,2
刊名	Journal of Computers (Finland)
	2012
卷号	7 期号:10 SPL.ISS.页码:2511-2517
关键词	Failure analysis Particle swarm optimization (PSO) Simulated annealing Fault data Fault diagnosis method Fault signal GA-HPSO-NN Information entropy Input and outputs Local minimums Novel algorithm Quantitative accuracy Rotor fault Spectral entropy
ISSN号	1796203X
DOI	10.4304/jcp.7.10.2511-2517
英文摘要	At present, although most fault diagnosis methods of rotating machinery is qualitatively used, it is gravely lacking in quantitative accuracy. So a novel algorithm GAHPSO combining with the advantages of genetic algorithm (GA), simulated annealing (SA) and particle swarm optimization (PSO) was provided to train neural network (NN). The proportion and blend methods were applied to the novel algorithm. Information entropy was used to take fault signals. Four kinds of spectral entropies and six kinds of typical rotor faults were used as input and output data. NN classifier based on GA-HPSO was set up. The simulation results indicate that GA-HPSO has a better ability to escape from a local minimum and is more effective than the conventional single algorithm. It can rapidly and accurately realize fault data classification. It provides a new method for fault diagnosis. © 2012 ACADEMY PUBLISHER.
WOS研究方向	Computer Science
语种	英语
出版者	Academy Publisher, P.O.Box 40,, OULU, 90571, Finland
WOS记录号	WOS:000218135400021
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111098]
专题	机电工程学院
作者单位	1.Key Laboratory of Digital Manufacturing Technology and Application, The Ministry of Education, Lanzhou University of Technology, Lanzhou 730050, China; 2.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, 730050, China
推荐引用方式 GB/T 7714	Peng, Bin,Hu, Chang-an,Zhao, Rong-zhen,et al. The investigation of fault diagnosis based on GA-HPSO-NN[J]. Journal of Computers (Finland),2012,7(10 SPL.ISS.):2511-2517.
APA	Peng, Bin,Hu, Chang-an,Zhao, Rong-zhen,&Zheng, Yu-qiao.(2012).The investigation of fault diagnosis based on GA-HPSO-NN.Journal of Computers (Finland),7(10 SPL.ISS.),2511-2517.
MLA	Peng, Bin,et al."The investigation of fault diagnosis based on GA-HPSO-NN".Journal of Computers (Finland) 7.10 SPL.ISS.(2012):2511-2517.