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); Che XZ(车香芝); Hu W(胡为); Hu JT(胡静涛)
2008
会议名称4th International Conference on Natural Computation (ICNC 2008)
会议日期October 18-20, 2008
会议地点Jian, China
页码140-146
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Int Nat Computat & Knowledge Discovery Assoc, Shandong Univ
会议录ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 4, PROCEEDINGS
会议录出版者IEEE COMPUTER SOC
会议录出版地LOS ALAMITOS
语种英语
ISBN号978-0-7695-3304-9
WOS记录号WOS:000264555400029
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/8085]  
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,Li XL,Yu HB,et al. Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet neural Network[C]. 见:4th International Conference on Natural Computation (ICNC 2008). Jian, China. October 18-20, 2008.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace