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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)
Department工业控制系统研究室
Source PublicationDigital Signal Processing
ISSN1051-2004
2006
Volume16Issue:4Pages:402-418
Indexed BySCI ; EI
EI Accession number2006269972429
WOS IDWOS:000239395300007
Contribution Rank1
KeywordWavelet Neural Network Particle Swarm Optimization Gradient Descent Algorithm Machine Diagnosis
AbstractThis 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.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectEngineering, Electrical & Electronic
WOS KeywordPARTICLE SWARM OPTIMIZATION ; NEURAL NETWORKS ; WAVELET ; POWER
WOS Research AreaEngineering
Citation statistics
Cited Times:32[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/6896
Collection工业信息学研究室_工业控制系统研究室
Corresponding AuthorYu HB(于海斌)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School, the Chinese Academy of Sciences, Beijing, 100039, China
Recommended Citation
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.
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