A hybrid PSO-GD based intelligent method for machine diagnosis

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 工业信息学研究室 > 工业控制系统研究室

	A hybrid PSO-GD based intelligent method for machine diagnosis
	Guo QJ(郭前进); Yu HB(于海斌); Xu AD(徐皑冬)
刊名	Digital Signal Processing
	2006
卷号	16 期号:4 页码:402-418
关键词	Wavelet neural network Particle swarm optimization Gradient descent algorithm Machine diagnosis
ISSN号	1051-2004
通讯作者	于海斌
产权排序	1
中文摘要	This paper presents an intelligent methodology for diagnosing incipient faults in rotating machinery. In this fault diagnosis system, wavelet neural network techniques are used in combination with a new evolutionary learning algorithm. This new evolutionary learning algorithm is based on a hybrid of the constriction factor approach for particle swarm optimization (PSO) technique and the gradient descent (GD) technique, and is thus called HGDPSO. The HGDPSO is developed in such a way that a constriction factor approach for particle swarm optimization (CFA for PSO) is applied as a based level search, which can give a good direction to the optimal global region, and a local search gradient descent (GD) algorithm is used as a fine tuning to determine the optimal solution at the final. The effectiveness of the HGDPSO based WNN is demonstrated through the classification of the fault signals in rotating machinery. The simulated results show its feasibility and validity.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Engineering, Electrical & Electronic
研究领域[WOS]	Engineering
关键词[WOS]	PARTICLE SWARM OPTIMIZATION ; NEURAL NETWORKS ; WAVELET ; POWER
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000239395300007
公开日期	2012-05-29
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/6896]
专题	沈阳自动化研究所_工业信息学研究室_工业控制系统研究室
推荐引用方式 GB/T 7714	Guo QJ,Yu HB,Xu AD. A hybrid PSO-GD based intelligent method for machine diagnosis[J]. Digital Signal Processing,2006,16(4):402-418.
APA	Guo QJ,Yu HB,&Xu AD.(2006).A hybrid PSO-GD based intelligent method for machine diagnosis.Digital Signal Processing,16(4),402-418.
MLA	Guo QJ,et al."A hybrid PSO-GD based intelligent method for machine diagnosis".Digital Signal Processing 16.4(2006):402-418.