DC fault arc detection method
An arc detection and DC fault technology, applied in power testing, measuring electricity, photovoltaic power generation, etc., can solve problems such as unusability, frequent false alarms, noise interference, etc.
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[0045] 1) DC current is sampled by pulse transformer, band-pass filter, AD converter and MCU processor to obtain current data, such as Figure 5 .
[0046] 2) In the processing part of the MCU, the sampled data is passed through the Hanlin window and then FFT is performed to convert the time domain to the frequency domain, and the data logic processing is performed after calculating the amplitude of the high-frequency signal, such as Image 6 .
[0047] 3) The data logic processing part mainly uses the noise signal generated by the machine's own characteristics. The noise signal of the machine is mainly at the multiplier of the machine switching frequency. Figure 4 is the frequency spectrum of an arc fault, image 3 is the spectrum without arc fault.
[0048] The switching frequency of the example machine in the figure is 16k, as shown in the frequency spectrum, no matter whether an arc fault occurs or not, the machine has obvious noise signals around 16k, 32k, and 48k.
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