Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft Applications
The development of more electric aircrafts (MEA) and all electric aircrafts (AEA) inevitably implies an increase in electric power and a consequent increase in distribution voltage levels. Increased operating voltages coupled with low pressure in some areas of the aircraft greatly increase the chanc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/17/8595 |
| _version_ | 1797496350059790336 |
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| author | Jordi-Roger Riba Pau Bas-Calopa Yassin Aziz Qolla Marc Pourraz Burak Ozsahin |
| author_facet | Jordi-Roger Riba Pau Bas-Calopa Yassin Aziz Qolla Marc Pourraz Burak Ozsahin |
| author_sort | Jordi-Roger Riba |
| collection | DOAJ |
| description | The development of more electric aircrafts (MEA) and all electric aircrafts (AEA) inevitably implies an increase in electric power and a consequent increase in distribution voltage levels. Increased operating voltages coupled with low pressure in some areas of the aircraft greatly increase the chances of premature insulation failure. Insulation failure manifests itself as surface discharges, arc tracking, arcing, and disruptive or breakdown discharges, in order of increasing severity. Unfortunately, on-board electrical protections cannot detect discharges at an early stage, so other strategies must be explored. In their early stage, insulation faults manifest as surface and corona discharges. They generate optical radiation, mainly in the near-ultraviolet (UV) and visible spectral regions. This paper focuses on a method to detect the discharges, locate the discharge sites, and determine their intensity to facilitate predictive maintenance tasks. It is shown that by using small size and low-cost image sensors, it is possible to detect, locate, and quantify the intensity of the discharges. This paper also proposes and evaluates the behavior of a discharge severity indicator, which is based on determining the intensity of digital images of the discharges, so it can be useful to apply predictive maintenance tasks. The behavior and accuracy of this indicator has been tested in the laboratory using a low-pressure chamber operating in the pressure range of 10–100 kPa, which is characteristic of aircraft applications, analyzing a needle-plane air gap geometry and using an image sensor. The proposed method can be extended to other applications where electrical discharges are an issue. |
| first_indexed | 2024-03-10T03:02:25Z |
| format | Article |
| id | doaj.art-18feff0222a448a98849debfbf2f4447 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:02:25Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-18feff0222a448a98849debfbf2f44472023-11-23T12:42:22ZengMDPI AGApplied Sciences2076-34172022-08-011217859510.3390/app12178595Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft ApplicationsJordi-Roger Riba0Pau Bas-Calopa1Yassin Aziz Qolla2Marc Pourraz3Burak Ozsahin4Electrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, SpainElectrical Engineering Department, Universitat Politècnica de Catalunya, 08222 Terrassa, SpainGraduate School of Engineering, Polytech Nantes, Rue Christian Pauc, 44300 Nantes, FranceGraduate School of Engineering, Polytech Nantes, Rue Christian Pauc, 44300 Nantes, FranceFaculty of Engineering, Gebze Technical University, 41400 Gebze, TurkeyThe development of more electric aircrafts (MEA) and all electric aircrafts (AEA) inevitably implies an increase in electric power and a consequent increase in distribution voltage levels. Increased operating voltages coupled with low pressure in some areas of the aircraft greatly increase the chances of premature insulation failure. Insulation failure manifests itself as surface discharges, arc tracking, arcing, and disruptive or breakdown discharges, in order of increasing severity. Unfortunately, on-board electrical protections cannot detect discharges at an early stage, so other strategies must be explored. In their early stage, insulation faults manifest as surface and corona discharges. They generate optical radiation, mainly in the near-ultraviolet (UV) and visible spectral regions. This paper focuses on a method to detect the discharges, locate the discharge sites, and determine their intensity to facilitate predictive maintenance tasks. It is shown that by using small size and low-cost image sensors, it is possible to detect, locate, and quantify the intensity of the discharges. This paper also proposes and evaluates the behavior of a discharge severity indicator, which is based on determining the intensity of digital images of the discharges, so it can be useful to apply predictive maintenance tasks. The behavior and accuracy of this indicator has been tested in the laboratory using a low-pressure chamber operating in the pressure range of 10–100 kPa, which is characteristic of aircraft applications, analyzing a needle-plane air gap geometry and using an image sensor. The proposed method can be extended to other applications where electrical discharges are an issue.https://www.mdpi.com/2076-3417/12/17/8595electric dischargecorona dischargeimage sensorstate of healthfault diagnosis |
| spellingShingle | Jordi-Roger Riba Pau Bas-Calopa Yassin Aziz Qolla Marc Pourraz Burak Ozsahin Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft Applications Applied Sciences electric discharge corona discharge image sensor state of health fault diagnosis |
| title | Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft Applications |
| title_full | Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft Applications |
| title_fullStr | Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft Applications |
| title_full_unstemmed | Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft Applications |
| title_short | Using CMOS Image Sensors to Determine the Intensity of Electrical Discharges for Aircraft Applications |
| title_sort | using cmos image sensors to determine the intensity of electrical discharges for aircraft applications |
| topic | electric discharge corona discharge image sensor state of health fault diagnosis |
| url | https://www.mdpi.com/2076-3417/12/17/8595 |
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