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An Improved Broadband Common-Mode Electrical Machine Model for Online Condition Monitoring of Stator Insulation Degradation

机译:一种改进的宽带共模电机模型,用于定子绝缘劣化的在线状态监测

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Online condition monitoring for stator insulation is crucial to the reliability of AC electrical machines. Common-mode (CM) monitoring technique becomes popular in recent years. However, the CM models used in the existing monitoring methods are usually lumped-parameter models. The parameters in these models are usually obtained by curve-fitting. Thus these parameters lack specific physical meanings and these models are difficult to be used to study different insulation ageing problems. In addition, the parameters in these models are usually considered constant rather than frequency-dependent. This problem largely affects the accuracy of the model in broadband spectrum. In this paper, an improved detailed CM model for insulation monitoring is proposed. The electrical parameters in this model are obtained by calculation based on the geometrical and dielectric parameters of the winding insulation rather than curve fitting. The frequency-dependent parameters are calculated by finite element analysis (FEA). The proposed model is validated by experiments. The model can be used for analysis of CM online stator insulation monitoring technique in broadband spectrum.
机译:定子绝缘材料的在线状态监测对于AC电机的可靠性至关重要。近年来,共模(CM)监测技术变得流行。但是,现有监控方法中使用的CM模型通常是集成参数模型。这些模型中的参数通常通过曲线拟合获得。因此,这些参数缺乏特定的物理含义,并且这些模型难以用于研究不同的绝缘老化问题。此外,这些模型中的参数通常被认为是恒定的而不是依赖于频率。这个问题很大程度上影响了宽带光谱中模型的准确性。本文提出了一种改进的保温监测的详细的CM模型。通过基于卷绕绝缘的几何和介电参数而不是曲线配件来计算该模型中的电参数。通过有限元分析(FEA)计算频率依赖性参数。所提出的模型通过实验验证。该模型可用于宽带光谱中CM在线定子绝缘监测技术的分析。

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