Projekter pr. år
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.
Originalsprog | Engelsk |
---|---|
Titel | Proceedings of 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016 |
Antal sider | 6 |
Forlag | IEEE Press |
Publikationsdato | jun. 2016 |
Sider | 1602-1607 |
Artikelnummer | 7749891 |
ISBN (Elektronisk) | 978-1-5090-2724-8 |
DOI | |
Status | Udgivet - jun. 2016 |
Begivenhed | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Portland, USA Varighed: 5 jun. 2016 → 10 jun. 2016 |
Konference
Konference | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 |
---|---|
Land/Område | USA |
By | Portland |
Periode | 05/06/2016 → 10/06/2016 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters'. Sammen danner de et unikt fingeraftryk.Projekter
- 1 Afsluttet
-
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
Projekter: Projekt › Forskning