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Identification of Magnetizing Inrush and Internal Short-Circuit Fault Current in V/x-Type Traction Transformer

机译:V / x型牵引变压器励磁涌流和内部短路故障电流的识别

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摘要

This paper deals with the fault diagnosis methodology for the V/x-type traction transformer in railway passenger-dedicated lines. A kind of the protection methodology to combine empirical mode decomposition (EMD), energy weight, and information entropy is proposed. This method can sensitively reflect the dynamic information changes of traction transformer differential current, so it can not only effectively identify internal short-circuit fault current from magnetizing inrush but also better identify fault current accompanied with magnetizing inrush. In this method, the differential current is decomposed by EMD and the energy weight of each intrinsic mode function (IMF) is calculated, and the feature vector of the fault pattern recognition is obtained by constructing IMF energy entropy. The field-measured data illustrate that the new method not only has the advantages of high sensitivity, faster identification speed, and clear concept but also is available for the diagnosis of the complicated dynamic system.
机译:本文探讨了铁路客运专线V / x型牵引变压器的故障诊断方法。提出了一种结合经验模式分解(EMD),能量权重和信息熵的保护方法。该方法能够灵敏地反映牵引变压器差动电流的动态信息变化,不仅可以有效地识别励磁涌流内部短路故障电流,而且可以更好地识别励磁涌流伴随的故障电流。在这种方法中,通过EMD分解差分电流,并计算每个本征模式函数(IMF)的能量权重,并通过构造IMF能量熵获得故障模式识别的特征向量。现场实测数据表明,该方法不仅具有灵敏度高,识别速度快,概念清晰的优点,而且可用于复杂动力系统的诊断。

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