Detection of Localized Bearing Faults in Induction Machines by Spectral Kurtosis and Envelope Analysis of Stator Current

被引：220
作者：
Leite, Valeria C. M. N. [1 ]
Borges da Silva, Jonas Guedes [2 ]
Cintra Veloso, Giscard Francimeire [3 ]
Borges da Silva, Luiz Eduardo [3 ]
Lambert-Torres, Germano [2 ]
Bonaldi, Erik Leandro [2 ]
de Lacerda de Oliveira, Levy Ely [2 ]
机构：
[1] Inst Aeronaut & Space, Dept Aerosp Sci & Technol, BR-12228904 Sao Jose Dos Campos, Brazil
[2] PS Solut, BR-37500052 Itajuba, Brazil
[3] Itajuba Fed Univ UNIFEI, Dept Elect Engn, BR-37500903 Itajuba, Brazil
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2015年 / 62卷 / 03期
关键词：
Ball bearings; condition monitoring; fault detection; fault diagnosis; induction motors; kurtosis; signal processing; spectral analysis; DIAGNOSIS; MOTOR; VIBRATION; CLASSIFICATION; ENERGY;
D O I：
10.1109/TIE.2014.2345330
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Early detection of faults in electrical machines, particularly in induction motors, has become necessary and critical in reducing costs by avoiding unexpected and unnecessary maintenance and outages in industrial applications. Additionally, most of these faults are due to problems in bearings. Thus, in this paper, experimental bearing fault detection of a three-phase induction motor is performed by analyzing the squared envelope spectrum of the stator current. Spectral kurtosis-based algorithms, namely, the fast kurtogram and the wavelet kurtogram, are also applied to improve the envelope analysis. Experimental tests are performed, considering outer bearing faults at different stages, and the results are promising.
引用
收藏
页码：1855 / 1865
页数：11
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