转子不对称双笼型异步电动机定子电流谱分析

IF 1.2 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Archives of Electrical Engineering Pub Date : 2023-06-28 DOI:10.24425/aee.2023.145413
Jarosław TULICKIo, T. Sobczyk, Maciej SUŁOWICZo
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引用次数: 0

摘要

提出了一种直接计算双保持架异步电动机定子电流傅立叶谱来诊断转子保持架故障的方法。为此目的开发了一个电路模型,允许对外部和内部转子保持架中的任何不对称进行建模。该模型通过考虑定子绕组产生的高空间谐波,扩展了笼型电机的传统模型。笼的不对称性是通过增加任何转子棒的阻力来模拟的。这就产生了各种各样的模型方程,需要通过寻找诊断信号来求解。电机电流特征分析通常用于基于稳态运行时定子电流的傅立叶谱来诊断笼型电机。本研究使用谐波平衡法确定了双保持架电机的这些谱,省略了瞬态计算。计算结果证实了定子电流傅立叶谱作为诊断信号的灵敏度,可以区分内外笼故障。
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Stator current spectrum analysis of a double cage induction motor with rotor asymmetry
: This study presents a method to directly calculate the stator current Fourier spectra in double-cage induction motors to diagnose faults in rotor cages. A circuit model is developed for this purpose, allowing the modelling of any asymmetry in the outer and inner rotor cages. The model extends the conventional model of a cage motor by considering the higher space harmonics generated by the stator windings. The asymmetry of the cages is modelled by growing the resistance of any of the rotor bars. This results in various model equations, to be solved by looking for diagnostic signals. Motor current signature analysis is typically used to diagnose cage motors based on the Fourier spectra of the stator currents during steady-state operation. This study determines these spectra for double cage motors using the harmonic balance method, omitting the transient calculations. The calculation results confirmed the sensitivity of the stator current Fourier spectra as a diagnostic signal to distinguish faults in the outer and inner cages.
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来源期刊
Archives of Electrical Engineering
Archives of Electrical Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
2.40
自引率
53.80%
发文量
0
审稿时长
18 weeks
期刊介绍: The journal publishes original papers in the field of electrical engineering which covers, but not limited to, the following scope: - Control - Electrical machines and transformers - Electrical & magnetic fields problems - Electric traction - Electro heat - Fuel cells, micro machines, hybrid vehicles - Nondestructive testing & Nondestructive evaluation - Electrical power engineering - Power electronics
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