基于HHT的航空直流串行电弧特征提取方法

doi:10.7527/S1000-6893.2018.22404

Abstract

Abstract: Due to the limited space inside the aircraft, the arbitrariness of the arc fault in time and space, and the nonobviousness of characteristics, it is difficult to detect the DC arc fault occurred in aircrafts. To solve the problem, this paper studies the characteristics extraction method of DC arc fault based on the aircraft 270 V High VoHage Direct Current (HVDC) system. The Hilbert-Huang Transform (HHT) is used to extract the time domain and frequency domain characteristics of current's AC component. The peak-to-peak value and standard deviation of the instantaneous amplitude of the IMF5 of HHT are selected as the time domain characteristics of the arc fault. Compared with the time domain characteristics of the original signal, the discrimination between the normal and the arc characteristic is more significant. The sum of harmonic power in a certain range, calculated by the IMF1+IMF2 is selected as the characteristic of frequency domain. Compared with the traditional FFT method, the time-frequency spectrum of HHT method can reflect the partial characteristics of the signal. The difference between the normal and arc characteristics calculated by the HHT method is more significant, and the ratio of the arc fault and the normal characteristics can be up to 346. The HHT method can better distinguish between normal and arc fault states, and improve the rate of arc fault detection and reduce the rate of false alarm, showing high values for engineering application.

Key words: HVDC, serial arc, Hilbert-Huang Transform(HHT), Fast Fourier Transform(FFT), fault detection rate

CLC Number:

V219
V271

ZHANG Yaojia, WANG Li, YIN Zhendong, GAO Yang, WANG Bangting. Characteristics extraction method of aviation DC serial arc fault based on HHT[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(1): 522404-522404.

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Characteristics extraction method of aviation DC serial arc fault based on HHT

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