Knowledge Management System of Shenyang Institute of Automation, CAS
Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet neural Network | |
Guo QJ(郭前进); Li XL(李晓利); Yu HB(于海斌)![]() ![]() | |
Department | 工业控制系统研究室 |
Conference Name | 4th International Conference on Natural Computation (ICNC 2008) |
Conference Date | October 18-20, 2008 |
Conference Place | Jian, China |
Author of Source | Int Nat Computat & Knowledge Discovery Assoc, Shandong Univ |
Source Publication | ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS |
Publisher | IEEE COMPUTER SOC |
Publication Place | LOS ALAMITOS |
2008 | |
Pages | 140-146 |
Indexed By | EI ; CPCI(ISTP) |
EI Accession number | 20085111800502 |
WOS ID | WOS:000264555400029 |
Contribution Rank | 1 |
ISBN | 978-0-7695-3304-9 |
Abstract | The fault symptoms of stator winding inter-turn short circuit and rotor bar breakage are analyzed completely in this paper. And a new method for fault diagnosis of broken rotor bar and inter-turn short-circuits in induction machines is presented. The method is based on the analysis of the motor current signature analysis of induction machines using Zoom FFT spectrum analysis, generalized harmonic wavelet transform filter and hybrid particle swarm optimization (HPSO) based wavelet neural network. As an on-line current monitoring and non-invasive detection scheme, the presented method yields a high degree of accuracy in fault identification as evidenced by the given experimental results, which demonstrate that the detection scheme is valid and feasible. |
Language | 英语 |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.sia.cn/handle/173321/8085 |
Collection | 工业信息学研究室_工业控制系统研究室 |
Corresponding Author | Guo QJ(郭前进) |
Affiliation | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning 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. Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet neural Network[C]//Int Nat Computat & Knowledge Discovery Assoc, Shandong Univ. LOS ALAMITOS:IEEE COMPUTER SOC,2008:140-146. |
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HYQW000585.pdf(601KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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