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Abstract
A method for detecting micro-cracks in solar cells using two dimensional matched filters was developed, derived from the electroluminescence intensity profile of typical micro-cracks. We describe the image processing steps to obtain a binary map with the location of the micro-cracks. Finally, we show how to automatically estimate the total length of each micro-crack from these maps, and propose a method to identify severe types of micro-cracks, such as parallel, dendritic, and cracks with multiple orientations. With an optimized threshold parameter, the technique detects over 90 % of cracks larger than 3 cm in length. The method shows great potential for quantifying micro-crack damage after manufacturing or module transportation for the determination of a module quality criterion for cell cracking in photovoltaic modules.
Original language | English |
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Title of host publication | Proceedings of 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016 |
Number of pages | 6 |
Publisher | IEEE Press |
Publication date | Jun 2016 |
Pages | 1602-1607 |
Article number | 7749891 |
ISBN (Electronic) | 978-1-5090-2724-8 |
DOIs | |
Publication status | Published - Jun 2016 |
Event | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Portland, United States Duration: 5 Jun 2016 → 10 Jun 2016 |
Conference
Conference | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 |
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Country/Territory | United States |
City | Portland |
Period | 05/06/2016 → 10/06/2016 |
Keywords
- Crystalline silicon
- Detection
- Electroluminescence
- Matched filters
- Micro-crack
- Photovoltaic cells
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Dive into the research topics of 'Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters'. Together they form a unique fingerprint.Projects
- 1 Finished
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DronEL - Fast and accurate inspection of large photovoltaic plants using aerial drone imaging
Séra, D., Spataru, S. V. & Parikh, H. R.
01/01/2017 → 31/12/2019
Project: Research