Detection of DC series arc in more electric aircraft power system based on optical spectrometry

Autor: Ricardo Albarracín, Chaohai Zhang, Mingxin Zhao, Jun Jiang, Wen Zhe
Rok vydání: 2020
Předmět:
arcs (electric)
arc spectral behaviour
series arc characteristic spectra
Arc-fault circuit interrupter
light interference
wavelet decomposition
direct current arc fault
law.invention
Electric arc
Arc (geometry)
anode material
law
dc series arc test platform
optical arc detection method
wavelength 324.5 nm
anodes
electric aircraft power system
fault diagnosis
electrical method
wavelet transforms
electric sensing devices
power supply
optical spectrometry
Arc lamp
series arc optical detection
lcsh:TK1-9971
electric current measurement
optical sensors
Materials science
lcsh:QC501-721
Energy Engineering and Power Technology
wavelength 309.3 nm
Noise (electronics)
mea discharging faults diagnosis
hilbert transforms
Electric power system
Optics
savitzky−golay correction
lcsh:Electricity
mea dc system
Electrical and Electronic Engineering
business.industry
Direct current
electromagnetic interference
distribution spectrum range
aircraft power systems
series arcing faults
assembling
lcsh:Electrical engineering. Electronics. Nuclear engineering
series arc spectrum
business
Voltage
Zdroj: High Voltage (2019)
ISSN: 2397-7264
DOI: 10.1049/hve.2019.0068
Popis: Series arcing faults have been recognised as a hazardous phenomenon in the power system of more electric aircraft (MEA), especially with the increasing voltage level and power supply. Instead of the electrical method, the optical method can be used as an approach to detect arc fault with the advantages of fast response and immunity to electromagnetic interference. It is the basis of optical arc detection to determine the distribution spectrum range of direct current (DC) arc fault. Aiming at series arc optical detection in the MEA DC system, a DC series arc test platform was established to measure the series arc spectrum. The spectrum was disassembled though empirical mode decomposition to extract characteristic wavelengths of arc light and de-noised by means of wavelet decomposition and reconstruction (wavelet transformation) to reduce equipment noise. To resolve the baseline drift, the baseline of the arc spectrum measured was calculated and corrected based on Savitzky−Golay. The experimental results indicate that there are several series arc characteristic spectra of the MEA DC system, including 309.3 and 324.5 nm in the ultraviolet range. Moreover, the arc spectrum with different metals, copper and aluminium, were contrasted, indicating the arc spectral behaviour is related to the melting/boiling point and chemical properties of the anode material. The measurement of the series arc spectrum makes it more effective to apply optical detection in the MEA discharging faults diagnosis.
Databáze: OpenAIRE
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