Modeling and Diagnosis of Stator Winding Faults in PMSM using Motor Current Signature Analysis

被引:0
|
作者
Gherabi, Zakaria [1 ]
Toumi, Djilali [2 ]
Benouzza, Noureddine [1 ]
Henini, Noureddine [3 ]
机构
[1] Univ Sci & Technol Oran USTO MB, Diag Grp, Elect Engn Fac, Oran, Algeria
[2] Univ Ibn Khaldoun Tiaret, Elect Engn Dept, L2GEGI Lab, Tiaret, Algeria
[3] Yahia Fares Univ, Elect Engn Dept, Medea, Algeria
来源
2019 INTERNATIONAL AEGEAN CONFERENCE ON ELECTRICAL MACHINES AND POWER ELECTRONICS (ACEMP) & 2019 INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT (OPTIM) | 2019年
关键词
PMSM; WFA; ITSC faults; Spectral analysis; MACHINES;
D O I
10.1109/acemp-optim44294.2019.9007162
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Inter-Turn Short Circuit (ITSC) faults in stator winding of Permanent Magnet Synchronous Motors (PMSMs) is one of the major cause of motor failure. This paper deals with the diagnosis of ITSC faults in PMSM tacking into account of all space harmonics. To do this, it's necessary to build a mathematical model of the machine object of the diagnosis. This model must be reliable and able to describe the behavior of the machine in deferent operation modes. Winding Function Approach (WFA) is among the most significant modeling methods because it takes into account the real distribution of the windings in the stator slots. To highlight the interest of the model employed and the efficiency of the spectral analysis technique, a series of simulations are performed in both cases of operation: healthy and in the presence of ITSC faults.
引用
收藏
页码:227 / 232
页数:6
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