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Partial Discharge Pattern Recognition of power transformer by Using Information Fusion

机译:基于信息融合的电力变压器局部放电模式识别

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As one of the most important equipments in the power system, partial discharge(PD) affects the transformer's properties in a long-term period and the partial discharge pattern recognition has most important sense. In the paper,3 kinds of experimental models simulating discharges were designed and model experiments were performed. Based on this, a transformer partial discharge pattern recognition system based on information fusion technology is developed, the finally experiments show that: information fusion have enough ability to recognize different types of partial discharge.
机译:作为电力系统中最重要的设备之一,局部放电(PD)长期影响变压器的性能,局部放电模式识别具有最重要的意义。本文设计了三种模拟放电的实验模型并进行了模型实验。在此基础上,开发了基于信息融合技术的变压器局部放电模式识别系统,最终实验表明:信息融合具有足够的能力识别不同类型的局部放电。

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