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Investigation of online detected partial discharges in power transformer

机译:在线检测电力变压器局部放电的研究

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In this paper some advantage of online monitoring in power transformer and the sensors that can be used for partial discharge detection are described. Several detected PD in one power transformer and one distribution transformer are depicted. Matlabs wavelet package is employed to de-noise the recorded signals. As it appear from the captured and the de-noised signals, PD signals in an aged power transformer are often enough large that can be easily detected through the noisy measured signals. By examination of the frequency spectrum of several PD signal in this paper it is obvious that this signal contain two major frequency band, one under 1 MHz and the other one between 7 to 9 MHz.
机译:在本文中,描述了在电力变压器和可用于局部放电检测的传感器中的在线监测的一些优点。描绘了一个电力变压器和一个分配变压器中的几个检测到的PD。 Matlabs小波包被用于噪声记录的信号。由于从捕获的和去噪信号出现,老化电力变压器中的PD信号通常足够大,可以通过噪声测量信号容易地检测。通过在本文中检测几个PD信号的频谱,很明显,该信号包含两个主要频带,1个下方1 MHz,另一个在7至9MHz之间。

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