Diagnosis of rotor asymmetries in induction motors based on the transient extraction of fault components using filtering techniques

被引:19
作者
Riera-Guasp, M. [1 ]
Antonino-Daviu, J. [1 ]
Rusek, J. [2 ]
Roger-Folch, J. [1 ]
机构
[1] Univ Politecn Valencia, Dept Ingn Elect, E-46071 Valencia, Spain
[2] AGH Univ Sci & Technol, Dept Elect Engn, PL-030059 Krakow, Poland
关键词
Induction machines; Filtering techniques; Discrete wavelet transform; Transient analysis; BAR DETECTION; BROKEN BARS;
D O I
10.1016/j.epsr.2009.02.009
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The aim of this paper is to present and validate a methodology for diagnosing rotor asymmetries in cage motors, based on the analysis of the stator startup current. The method consists of the extraction of a harmonic component introduced by this fault - the left sideband component - from the stator startup current. Two alternative techniques developed by different research groups are proposed for the transient extraction of this component; the digital low-pass filtering (DLPF) and the discrete wavelet transform (DWT). Both approaches are applied to three different industrial motors ranging from 1.1 to 450kW. A detailed explanation of the physical basis of the method and comments related to the application scope of the approach are also given. The results show the robustness of both approaches for the reliable diagnosis of the fault and suggest a clear potentiality for extending the methodology to the detection of other types of faults introducing components dependant on the slip. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:1181 / 1191
页数:11
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