A DC fault arc detection method is characterized by comprising the following steps: first step: performing sampling, filtering and fast Fourier transformation on an input current of a high-frequency power electronic converter, to obtain an amplitude-frequency characteristic curve of a current high-frequency component; and second step: selecting at least one band containing a switch frequency or a multiple frequency on the amplitude-frequency characteristic curve, calculating a peak value D1 of an amplitude in the band and an average value D2 of the amplitude, determining, according to a distance change between the peak value D1 and the average value D2, whether an arc occurs, if the average value D2 approaches the peak value D1, determining that the arc occurs, and otherwise, determining that no arc occurs. The technical solution provides a new DC fault arc detection method. By using the inherent characteristics of a converter, a DC current high-frequency component generates a noise signal at a position at a multiple frequency of the switch frequency of the converter, and a fault arc spectrum is analyzed and calculated by using the noise signal to thus detect whether a fault arc occurs.
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