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| Content Provider | IET Digital Library |
|---|---|
| Author | Jiang, Jun Zhao, Mingxin Wen, Zhe Zhang, Chaohai Albarracín, Ricardo |
| Abstract | 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. |
| Starting Page | 24 |
| Ending Page | 29 |
| Page Count | 6 |
| Volume Number | 5 |
| e-ISSN | 23977264 |
| Issue Number | Issue 1, Feb (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/hve/5/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/hve.2019.0068 |
| Journal | High Voltage |
| Publisher | The Institution of Engineering and Technology CEPRI |
| Publisher Date | 2019-08-15 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) |
| Subject Keyword | Aerospace And Avionic Power Supplies Aircraft Power System Anode Anode Material Arc Spectral Behaviour Arcs (electric) Assembling Current Measurement DC Series Arc Test Platform Direct Current Arc Fault Distribution Spectrum Range Electric Aircraft Power System Electric Current Measurement Electric Sensing Device Electrical Instruments And Technique Electrical Method Electromagnetic Compatibility Electromagnetic Interference Fault Diagnosis Function Theory And Analysis Hilbert Transform Integral Transforms Interference Light Interference MEA DC System MEA Discharging Fault Diagnosis Microassembly Technique Optical Arc Detection Method Optical Interference And Speckle Optical Sonsor Optical Spectrometry Power Supply Savitzky−Golay Correction Sensing And Detecting Device Sensing Device And Transducers Series Arc Characteristic Spectra Series Arc Optical Detection Series Arc Spectrum Series Arcing Fault Wavelength 309.3 Nm Wavelength 324.5 Nm Wavelet Decomposition Wavelet Transform |
| Content Type | Text |
| Resource Type | Article |
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