Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters

Sergiu Spataru; Peter Hacke; Dezso Sera

doi:10.1109/PVSC.2016.7749891

Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters

Sergiu Spataru, Peter Hacke, Dezso Sera

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

38 Citations (Scopus)

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
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	https://doi.org/10.1109/PVSC.2016.7749891
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
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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10.1109/PVSC.2016.7749891

https://www.scopus.com/record/display.uri?eid=2-s2.0-85003674314&origin=inward&txGid=08CE66393655C43A0F8F3F39E913DA85.wsnAw8kcdt7IPYLO0V48gA%3a9

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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.
Innovation Fund Denmark
01/01/2017 → 31/12/2019
Project: Research

Cite this

@inproceedings{1994e595fbb04c84932c38a42c3fb9a3,

title = "Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters",

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.",

keywords = "Crystalline silicon, Detection, Electroluminescence, Matched filters, Micro-crack, Photovoltaic cells",

author = "Sergiu Spataru and Peter Hacke and Dezso Sera",

year = "2016",

month = jun,

doi = "10.1109/PVSC.2016.7749891",

language = "English",

pages = "1602--1607",

booktitle = "Proceedings of 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016",

publisher = "IEEE Press",

note = "43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 ; Conference date: 05-06-2016 Through 10-06-2016",

}

Spataru, S, Hacke, P & Sera, D 2016, Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters. in Proceedings of 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016., 7749891, IEEE Press, pp. 1602-1607, 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016, Portland, United States, 05/06/2016. https://doi.org/10.1109/PVSC.2016.7749891

Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters. / Spataru, Sergiu; Hacke, Peter; Sera, Dezso.
Proceedings of 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016. IEEE Press, 2016. p. 1602-1607 7749891.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters

AU - Spataru, Sergiu

AU - Hacke, Peter

AU - Sera, Dezso

PY - 2016/6

Y1 - 2016/6

N2 - 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.

AB - 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.

KW - Crystalline silicon

KW - Detection

KW - Electroluminescence

KW - Matched filters

KW - Micro-crack

KW - Photovoltaic cells

U2 - 10.1109/PVSC.2016.7749891

DO - 10.1109/PVSC.2016.7749891

M3 - Article in proceeding

AN - SCOPUS:85003674314

SP - 1602

EP - 1607

BT - Proceedings of 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016

PB - IEEE Press

T2 - 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016

Y2 - 5 June 2016 through 10 June 2016

ER -

Automatic detection and evaluation of solar cell micro-cracks in electroluminescence images using matched filters

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Conference

Keywords

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DronEL - Fast and accurate inspection of large photovoltaic plants using aerial drone imaging

Cite this