三相鼠笼式异步电动机主气隙磁通的时空表示及其在偏心检测中的应用

Khalid I. Saad, G. Mirzaeva
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引用次数: 8

摘要

异步电动机的定子电流和主气隙磁通在三相平衡供电时也会产生不同类型的谐波。由于定子和转子的空间位置以及槽结构,产生了大量的空间谐波,因此被称为空间谐波。如果电源不平衡或电机由逆变器馈电,这是工业环境中最可能的情况,则在时域中产生更多的谐波。由于这些谐波可能是不必要的,他们有一个很好的使用状态监测的电机。对于一个健康的电机,谐波表现出一定的行为,偏离这些行为可能导致故障发生时检测到故障。现有的大多数状态监测电气技术都是基于定子电流和/或漏磁的时间谐波分析。本文提出将主气隙电磁通量的空间谐波分析与时域分析结合起来进行故障检测。为此,本文建立了一个分析正常和偏心异步电动机主气隙磁通空间谐波的模型。我们还提出了一种通过分析定子和转子的主气隙磁通来检测和区分不同类型偏心的方法,即静态、动态和混合偏心。结果表明,空间谐波分析可以准确地检测和区分不同类型的偏心。
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Space-time representation of the main air gap flux of a three phase squirrel cage induction motor and its application to detect eccentricity
The stator current and main air gap electromagnetic flux of an induction motor produces different types of harmonics even when they are run by balanced three-phase supply. A lot of these harmonics are created due to the spatial positions as well as slot structure of stator and rotor and thus known as space harmonics. If the supply is imbalanced or the motor is fed from an inverter, which is the most likely case in industrial environment, even more harmonics are created in time domain. As unwanted as these harmonics may be, they have a good use for condition monitoring of the motor. The harmonics show a certain behavior for a healthy motor and deviations from those behavior may lead to detect a fault as it happens. Most of the existing electrical techniques of condition monitoring are based on the time harmonics analysis of the stator current and/or leakage flux. We propose to analyze the space harmonics of the main air gap electromagnetic flux along with the time domain analysis to detect faults. To this aim, we present a model to analyze the space harmonics of the main air gap flux of a healthy as well as an eccentric induction motor in this paper. We also propose a method to detect and differentiate among different types of eccentricity, i.e. static, dynamic and mixed eccentricity by analyzing the main air gap flux with respect to both stator and rotor. Our presented results show that the space harmonics analysis can be used to detect and differentiate between different types of eccentricity unambiguously.
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