Diagnosis of Failures in an Induction Machine (Effect of Number of Broken Bars)

Boutebba Okba, Semcheddine Samia, Talhaoui Hicham
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Abstract

This article is part of the topic of surveillance, diagnosis and detection of anomalies of electric drives based on the squirrel cage induction machine in the presence of various faults in the rotor, more particularly the broken rotor bar fault. The spectral analysis of electromagnetic torque, speed and stator phase currents are an ideal tool for fault detection. On the one hand, it is shown that the broken rotor bar fault causes oscillations on the speed and the torque which result in vibrations in the rotation of the machine. On the other hand, for the stator current, the amplitude is no longer constant. These modulations which result in the presence of harmonics in the spectrum, where the appearance of the lateral rays in the vicinity of the fundamental which are used for the detection of broken rotor bar fault. To set up an effective detection technique, it is imperative to study the laws of variations of the amplitudes of these components as a function of the modulation frequency considered. Finally, the successful results obtained prove that the spectral analysis is able to detect the defect and the number of broken bars.
感应电机故障诊断(断条数的影响)
本文的部分课题是基于鼠笼式感应电机在转子存在各种故障,特别是转子断条故障的情况下,对电传动异常进行监测、诊断和检测。电磁转矩、转速和定子相电流的频谱分析是故障检测的理想工具。一方面,转子断条故障引起转速和转矩的振荡,从而引起机器的旋转振动;另一方面,对于定子电流,振幅不再是恒定的。这些调制导致频谱中谐波的存在,在基波附近出现横向射线,用于检测转子棒故障。为了建立一种有效的检测技术,必须研究这些分量的幅值随调制频率的变化规律。最后,取得了成功的结果,证明了光谱分析能够检测出缺陷和断条数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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