基于MCSA和NSC的三相异步电动机短路故障诊断

M. Deeb, N. F. Kotelenets, T. Assaf, Hamdy M. Sultan, Ahmed S.Al akaysheedept
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引用次数: 5

摘要

本文对两种检测定子绕组短路的方法进行了比较研究。第一种方法是基于电机电流特征分析(MCSA),第二种方法是基于负序分量分析(NSC)。研究显示了每种方法的优缺点,并显示了在不同运行负荷和定子绕组存在短路的情况下,每种方法的故障指示器的变化。实验结果表明,MCSA能更有效地检测出定子绕组的短路。
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Three-Phase Induction Motor Short Circuits Fault Diagnosis using MCSA and NSC
In this paper, a comparative study has been performed between two methods used to detect short circuits in stator winding. The first approach is based on the motor current signature analysis (MCSA), while the second approach is based on the analysis of the negative sequence component (NSC). The study showed the advantages and disadvantages of each method, and it also showed the change in the fault indicator for each method under different operating loads and in the presence of short circuit in the stator winding. Experimental results proved that MCSA is more efficient to detect short circuits in the stator winding.
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