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Design method of high frequency current sensor based on neural network

机译:基于神经网络的高频电流传感器设计方法

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The high frequency current sensor is widely used in the partial discharge detection of electric power equipment. Transmission impedance is the most important technical indicators, mainly depends on the sensor coil turns, integral resistance and core performance. In the conventional design of high frequency current sensor, the choice of coil turns, integral resistance and magnetic core performance depend on experience, and cannot be accurately designed, which is very inconvenient. In this paper, a new design method based on the BP neural network was presented.
机译:高频电流传感器广泛用于电力设备的局部放电检测。传输阻抗是最重要的技术指标,主要取决于传感器线圈转,积分电阻和核心性能。在高频电流传感器的传统设计中,线圈转弯的选择,积分电阻和磁芯性能取决于经验,不能精确设计,这是非常不方便的。本文提出了一种基于BP神经网络的新设计方法。

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