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Comparison between characterization and diagnosis of broken bars/end-ring connectors and airgap eccentricities of induction motors in ASDs using a coupled finite element-state space method

机译:耦合有限元-状态空间法比较ASD中感应棒电动机的断条/端环连接器和气隙偏心的特征和诊断

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This paper describes how a rigorous and comprehensive time-stepping coupled finite element-state space (TSCPE-SS) modeling technique can be utilized in diagnostics and differentiation between induction motor rotor (cage) abnormalities of broken bars/connectors and airgap eccentricities. The model is used for the computation of time-domain performance characteristics, such as the stator phase current waveforms and developed torque profiles including these abnormalities. This is followed by analysis of the current waveforms and torque profiles using fast Fourier transform to obtain their corresponding frequency spectra. Comparison between the TSCFE-SS model's simulation results, which correlate very well with theoretical results, clearly illustrate that rotor bar and/or end-ring connector breakages can be distinguished from static and dynamic airgap eccentricities. This paper also gives an interesting comparison between the effects and implications of these various rotor abnormalities on machine parameters and performance characteristics. Furthermore, the results indicate that frequency components reported earlier to be produced only by the combined effects of static and dynamic airgap eccentricity could be observed in case of either static or dynamic eccentricity. Finally, this paper demonstrates the possible opportunities that can be made use of in noninvasive detection of airgap eccentricities via TSCFE-SS and current signature techniques.
机译:本文介绍了如何使用严格而全面的时步耦合有限元状态空间(TSCPE-SS)建模技术来诊断和区分感应电动机转子(笼)的断条/连接器异常和气隙偏心率。该模型用于计算时域性能特征,例如定子相电流波形和包括这些异常在内的已开发扭矩曲线。然后,使用快速傅立叶变换分析电流波形和转矩曲线,以获得其相应的频谱。 TSCFE-SS模型的模拟结果之间的比较与理论结果非常吻合,清楚地表明,转子杆和/或端环连接器的破损可与静态和动态气隙偏心区分开来。本文还对各种转子异常对电机参数和性能特征的影响和影响进行了有趣的比较。此外,结果表明,在静态或动态偏心率的情况下,都可以观察到先前报告的仅由静态和动态气隙偏心率的组合作用产生的频率分量。最后,本文演示了通过TSCFE-SS和当前的签名技术在气隙偏心距的无创检测中可以利用的可能机会。

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