Discrimination algorithm for aviation fault arc detection

Abstract

The invention discloses a discrimination algorithm for aviation fault arc detection and belongs to a field of aviation fault arc detection. The algorithm specifically includes collecting fault arc current signals in conditions with different loads on a test platform; judging whether the fault arc current signals are DC fault arc current or AC fault arc current and extracting characteristic quantities with both time domain and frequency domain; aiming at wavelet energy of DC fault arcs, information entropy and current change rate and wavelet energy of AC fault arcs, training a support vector machine predication model by taking the information entropy and a fourth eigenmode function value obtained through empirical mode decomposition; and distinguishing fault and normal states of arcs by utilizing two support vector machine predication models. According to the invention, a plurality of characteristic quantities are selected, fault characteristic contingency is reduced and discrimination accuracy is increased. Intelligent discrimination is performed on characteristics in a fault and normal critical range and randomness is reduced.

Description

technical field [0001] The invention relates to a discrimination algorithm for aviation fault arc detection, which belongs to the field of aviation fault arc detection. Background technique [0002] With the rapid development of my country's aviation industry, people pay more and more attention to aviation safety. The working environment of the aviation system is complex. For example, the vibration during the flight will lead to poor contact of the wire connection part, and the temperature change and radiation will cause the aging of the insulation surface of the transmission line, etc., and these problems may lead to the generation of arc faults. [0003] Fault arcs can be divided into series fault arcs and parallel fault arcs according to their generation methods; series fault arcs are caused by loose wire connections or poor contact; their fault currents are generally small. Parallel fault arc mostly occurs between the phase line and the neutral line or between the phase...

AI Technical Summary

Problems solved by technology

The above two patent applications only analyzed the fault arc current from the time domain characteristics, and did not consider the influence of the frequency domain characteristics on the fault arc current

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