SIA OpenIR  > 工业信息学研究室  > 工业控制系统研究室
Broken Rotor Bars Fault Detection in Induction Motors Using Park's Vector Modulus and FWNN Approach
Guo QJ(郭前进); Li XL(李晓利); Yu HB(于海斌); Hu W(胡为); Hu JT(胡静涛)
Department工业控制系统研究室
Conference Name5th International Symposium on Neural Networks
Conference DateSeptember 24-28, 2008
Conference PlaceBeijing, China
Source PublicationADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS
PublisherSPRINGER-VERLAG
Publication PlaceBERLIN
2008
Pages809-821
Indexed ByEI ; CPCI(ISTP)
EI Accession number20090611891660
WOS IDWOS:000260605100092
Contribution Rank1
ISSN0302-9743
ISBN978-3-540-87733-2
KeywordFault Detection Induction Motors Park's Vector Modulus Fwnn
AbstractIn this paper a new integrated diagnostic method based on the current Park's Vector modulus analysis and fuzzy wavelet neural network classifier is proposed for the diagnosis of rotor, cage faults in operating three-phase induction motors. Detection of broken rotor bars has long been an important but difficult job in the detection area of induction motor faults. The characteristic frequency components of a faulted rotor in the stator current spectrum are very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. In order to overcome the shortage of broken rotor bars characteristic components being submerged by the fundamental one in the spectrum of the stator line current, Park's Vector modulus(PVM) analysis is used to detect the occurrence of broken rotor bar faults in our work. Simulation and experimental results are presented to show the merits of this novel approach for the detection of cage induction motor broken rotor bars.
Language英语
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8069
Collection工业信息学研究室_工业控制系统研究室
Corresponding AuthorGuo QJ(郭前进)
Affiliation1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Department of Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Recommended Citation
GB/T 7714
Guo QJ,Li XL,Yu HB,et al. Broken Rotor Bars Fault Detection in Induction Motors Using Park's Vector Modulus and FWNN Approach[C]. BERLIN:SPRINGER-VERLAG,2008:809-821.
Files in This Item: Download All
File Name/Size DocType Version Access License
HYQW000358.pdf(2748KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Guo QJ(郭前进)]'s Articles
[Li XL(李晓利)]'s Articles
[Yu HB(于海斌)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Guo QJ(郭前进)]'s Articles
[Li XL(李晓利)]'s Articles
[Yu HB(于海斌)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Guo QJ(郭前进)]'s Articles
[Li XL(李晓利)]'s Articles
[Yu HB(于海斌)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: HYQW000358.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.