Detection method for detecting alternating-current arc faults

Abstract

The invention discloses a detection method for detecting alternating-current arc faults. According to the method, the alternating current is subjected to band-pass filtering and then signals within aperiod of time are sampled. The peak outburst region of signals is distinguished and extracted according to the distribution condition of sampling points. If the load of a known detection channel is linear, whether an arc fault occurs or not is judged through counting the occurrence number of arc events according to the distribution of peak outburst points. Otherwise, whether a peak value is the peak value of an arc or a peak value caused by a non-linear load is judged firstly according to the approximate periodicity of the peak outburst region of signals. If the peak value is the peak value of the arc, whether an arc fault occurs or not is judged through counting the occurrence number of arc events. According to the invention, by adopting the detection method for detecting arc faults, theonline detection of arc faults under various parameters and current grades can be realized. The misjudgment of non-arc non-linear loads can be eliminated. The load adaptability and the detection precision are improved.

Description

technical field [0001] The invention belongs to the technical field of electrical system safety, and relates to a detection method for an AC fault arc. Background technique [0002] Aviation cables are equivalent to the arteries and neural networks of aircraft, and the reliability of aviation cables is crucial to aircraft. The arc fault generated on the aviation cable is an important factor affecting its reliability, and the damage or connection fault of the line may cause the arc fault. The temperature of the arc is very high, and a large amount of heat is generated when the arc discharges, so the arc generated at a small current level is enough to start a fire. The over-current and short-circuit protection functions of traditional solid-state power controllers cannot protect against arc events, so it is of great significance to integrate the arc detection function into SSPC. [0003] The band-pass filtering of the arc current can retain the characteristic information of ...

AI Technical Summary

Problems solved by technology

Once the band-pass filter parameters are fixed, for a specific linear load, the signal after the band-pass filter can be compared with a certain threshold in a specific environment to detect a sudden peak signal with arc characteristics; but if the load parameters change, it may cause arc The sudden peak value of the feature changes. If the environmental factors are different, the value of the filtered signal may change. In these cases, the set threshold needs to be readjusted, which is extremely unfavorable for the realization of online detection; and if the load is non-linear, then in After filtering, there will be a sudden peak phenomenon in the case of no arc, and the arc cannot be detected by directly using the threshold comparison method.

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