LAPSE:2023.25826
Published Article
LAPSE:2023.25826
A Method of DC Arc Detection in All-Electric Aircraft
Teng Li, Zhijie Jiao, Lina Wang, Yong Mu
March 29, 2023
Arc faults in an aircraft’s power distribution system (PDS) often leads to cable and equipment damage, which seriously threatens the personal safety of the passengers and pilots. An accurate and real-time arc fault detection method is needed for the Solid-State Power Controller (SSPC), which is a key protection equipment in a PDS. In this paper, a new arc detection method is proposed based on the improved LeNet5 Convolutional Neural Network (CNN) model after a Time−Frequency Analysis (TFA) of the DC currents was obtained, which makes the arc detection more real-time. The CNN is proposed to detect the DC arc fault for its advantage in recognizing more time−frequency joint details in the signals; the new structure also combines the adaptive and multidimensional advantages of the TFA and image intelligent recognition. It is confirmed by experimental data that the combined TFA−CNN can distinguish arc faults accurately when the whole training database has been repeatedly trained 3 to 5 times. For the TFA, two kinds of methods were compared, the Short-Time Fourier Transform (STFT) and Discrete Wavelet Transform (DWT). The results show that DWT is more suitable for DC arc fault detection. The experimental results demonstrated the effectiveness of the proposed method.
Keywords
arc fault detection, convolutional neural network, discrete wavelet transform, more electric aircraft, time–frequency analysis
Suggested Citation
Li T, Jiao Z, Wang L, Mu Y. A Method of DC Arc Detection in All-Electric Aircraft. (2023). LAPSE:2023.25826
Author Affiliations
Li T: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Jiao Z: School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China [ORCID]
Wang L: School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China [ORCID]
Mu Y: Tangshan Power Supply Company of State Grid Jibei Electric Power Co., Ltd., Tangshan 063000, China
Journal Name
Energies
Volume
13
Issue
16
Article Number
E4190
Year
2020
Publication Date
2020-08-13
Published Version
ISSN
1996-1073
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PII: en13164190, Publication Type: Journal Article
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doi:10.3390/en13164190
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