Application of Genetic Algorithm for Inter-Turn Short Circuit Detection in Stator Winding of Induction Motor

被引：2

作者：

Tomczyk, Marcin ^{[1
]}

Mielnik, Ryszard ^{[1
]}

Plichta, Anna ^{[2
]}

Goldasz, Iwona ^{[3
]}

Sulowicz, Maciej ^{[1
]}

机构：

[1] Cracow Univ Technol, Fac Elect & Comp Engn, Warszawska 24 Str, PL-31155 Krakow, Poland

[2] Cracow Univ Technol, Fac Comp Sci & Telecommun, Warszawska 24 Str, PL-31155 Krakow, Poland

[3] Cracow Univ Technol, Fac Environm & Power Engn, Warszawska 24 Str, PL-31155 Krakow, Poland

来源：

ENERGIES | 2021年 / 14卷 / 24期

关键词：

turn short circuit; stator winding; induction motor; genetic algorithm; FAULT-DIAGNOSIS; OPTIMIZATION;

D O I：

10.3390/en14248523

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：

This paper presents a new method of inter-turn short-circuit detection in cage induction motors. The method is based on experimental data recorded during load changes. Measured signals were analyzed using a genetic algorithm. This algorithm was next used in the diagnostics procedure. The correctness of fault detection was verified during experimental tests for various configurations of inter-turn short-circuits. The tests were run for several relevant diagnostic signals that contain symptoms of faults in an examined cage induction motor. The proposed algorithm of inter-turn short-circuit detection for various levels of winding damage and for various loads of the examined motor allows one to state the usefulness of this diagnostic method in normal industry conditions of motor exploitation.

引用

页数：20

共 50 条

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