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Monitoring of Wound Rotor Induction Machines by Means of Discrete Wavelet Transform

机译：离散小波变换监测绕线转子感应电机

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This article studies the efficacy of a time-scale technique based on DWT for both stator and rotor asymmetries faults detection in WRIMs. The preliminary effort on the RAF detection in IMs relied mainly on the energy evaluation of a known low frequency bandwidth through DWT analysis. It was illustrated that the SCSVM and the IMSC are both good indicators for the RAF monitoring in steady state working conditions of WRIMs. In this work, it will be shown that in the case of any load variation, there is a time-varying DC component that may affect the energy evaluation criterion, resulting in a false alarm. Thus, an efficient method is proposed to estimate and then, to remove this DC component from both SCSVM and IMSC, before the energy evaluation through DWT analysis. Furthermore, by introducing a new frequency bandwidth, associated with SAF in the rotor current signature, this method can be extended to a universal slip independent stator and rotor asymmetries faults detection technique in WRIMs. The proposed approach is validated by experimental tests using a 7.5kW WRIM test rig.
机译：本文研究了基于DWT的时标技术对WRIM中定子和转子不对称故障检测的功效。 IM中RAF检测的初步工作主要依靠通过DWT分析对已知低频带宽进行能量评估。结果表明，SCSVM和IMSC都是在WRIM的稳态工作条件下进行RAF监测的良好指标。在这项工作中，将显示出在任何负载变化的情况下，都会存在随时间变化的直流分量，该分量可能会影响能量评估标准，从而导致错误警报。因此，在通过DWT分析进行能量评估之前，提出了一种有效的方法来估算，然后从SCSVM和IMSC中删除此DC分量。此外，通过在转子电流特征中引入与SAF相关的新的频率带宽，该方法可以扩展到WRIM中通用的独立于滑差的定子和转子不对称故障检测技术。通过使用7.5kW WRIM测试台进行的实验测试验证了所提出的方法。

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