Enhancement of Electroluminescence images for fault detection in photovoltaic panels

Harsh Parikh; Sergiu Spataru; Dezso Sera; Claire Mantel; Soren Forchhammer; Gisele A. dos Reis Benatto; Nicholas Reidel; Peter B Poulsen

doi:10.1109/PVSC.2018.8547442

Enhancement of Electroluminescence images for fault detection in photovoltaic panels

Harsh Parikh, Sergiu Spataru, Dezso Sera, Claire Mantel, Soren Forchhammer, Gisele A. dos Reis Benatto, Nicholas Reidel, Peter B Poulsen

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

6 Citations (Scopus)

204 Downloads (Pure)

Abstract

Good quality images are necessary for electroluminescence (EL) image analysis and failure
quantification in solar panels. In this work, a method for determining image quality in terms of more accurate failure detection in PV panels through EL imaging is proposed. The goal of the paper is to highlight the different methods for image quality improvement and to determine if the enhanced image provides more useful diagnostic information for accurate micro cracks and fracture detection. From the work carried out in this paper, it is to be noted that averaging technique helps in improving the SNR value. Additionally, subtracting the background from the obtained averaged EL image proves to be an enhancing method for cell fracture identification and more number of edges are also detected which can be useful for micro crack quantification.

Original language	English
Title of host publication	Proceedings of 7th World Conference on Photovoltaic Energy Conversion
Number of pages	6
Publisher	IEEE Press
Publication date	Jun 2018
Pages	1-6
DOIs	https://doi.org/10.1109/PVSC.2018.8547442
Publication status	Published - Jun 2018
Event	7th World Conference on Photovoltaic Energy Conversion - Hilton Waikoloa Village, Waikoloa, United States Duration: 10 Jun 2018 → 15 Jun 2018 http://www.wcpec7.org/WCPEC-7/

Conference

Conference	7th World Conference on Photovoltaic Energy Conversion
Location	Hilton Waikoloa Village
Country/Territory	United States
City	Waikoloa
Period	10/06/2018 → 15/06/2018
Internet address	http://www.wcpec7.org/WCPEC-7/

Series	I E E E Photovoltaic Specialists Conference. Conference Record
ISSN	0160-8371

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10.1109/PVSC.2018.8547442

WCPEC2018_final_manuscriptAccepted author manuscript, 888 KB

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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{3e05a61533f6412ea4381d96a62a4ea7,

title = "Enhancement of Electroluminescence images for fault detection in photovoltaic panels",

abstract = "Good quality images are necessary for electroluminescence (EL) image analysis and failurequantification in solar panels. In this work, a method for determining image quality in terms of more accurate failure detection in PV panels through EL imaging is proposed. The goal of the paper is to highlight the different methods for image quality improvement and to determine if the enhanced image provides more useful diagnostic information for accurate micro cracks and fracture detection. From the work carried out in this paper, it is to be noted that averaging technique helps in improving the SNR value. Additionally, subtracting the background from the obtained averaged EL image proves to be an enhancing method for cell fracture identification and more number of edges are also detected which can be useful for micro crack quantification. ",

author = "Harsh Parikh and Sergiu Spataru and Dezso Sera and Claire Mantel and Soren Forchhammer and {A. dos Reis Benatto}, Gisele and Nicholas Reidel and Poulsen, {Peter B}",

year = "2018",

month = jun,

doi = "10.1109/PVSC.2018.8547442",

language = "English",

series = "I E E E Photovoltaic Specialists Conference. Conference Record",

publisher = "IEEE Press",

pages = "1--6",

booktitle = "Proceedings of 7th World Conference on Photovoltaic Energy Conversion",

note = "7th World Conference on Photovoltaic Energy Conversion , WCPEC-7 ; Conference date: 10-06-2018 Through 15-06-2018",

url = "http://www.wcpec7.org/WCPEC-7/",

}

Parikh, H, Spataru, S, Sera, D, Mantel, C, Forchhammer, S, A. dos Reis Benatto, G, Reidel, N & Poulsen, PB 2018, Enhancement of Electroluminescence images for fault detection in photovoltaic panels. in Proceedings of 7th World Conference on Photovoltaic Energy Conversion. IEEE Press, I E E E Photovoltaic Specialists Conference. Conference Record, pp. 1-6, 7th World Conference on Photovoltaic Energy Conversion , Waikoloa, Hawaii, United States, 10/06/2018. https://doi.org/10.1109/PVSC.2018.8547442

Enhancement of Electroluminescence images for fault detection in photovoltaic panels. / Parikh, Harsh; Spataru, Sergiu; Sera, Dezso et al.
Proceedings of 7th World Conference on Photovoltaic Energy Conversion. IEEE Press, 2018. p. 1-6 (I E E E Photovoltaic Specialists Conference. Conference Record).

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

TY - GEN

T1 - Enhancement of Electroluminescence images for fault detection in photovoltaic panels

AU - Parikh, Harsh

AU - Spataru, Sergiu

AU - Sera, Dezso

AU - Mantel, Claire

AU - Forchhammer, Soren

AU - A. dos Reis Benatto, Gisele

AU - Reidel, Nicholas

AU - Poulsen, Peter B

PY - 2018/6

Y1 - 2018/6

N2 - Good quality images are necessary for electroluminescence (EL) image analysis and failurequantification in solar panels. In this work, a method for determining image quality in terms of more accurate failure detection in PV panels through EL imaging is proposed. The goal of the paper is to highlight the different methods for image quality improvement and to determine if the enhanced image provides more useful diagnostic information for accurate micro cracks and fracture detection. From the work carried out in this paper, it is to be noted that averaging technique helps in improving the SNR value. Additionally, subtracting the background from the obtained averaged EL image proves to be an enhancing method for cell fracture identification and more number of edges are also detected which can be useful for micro crack quantification.

AB - Good quality images are necessary for electroluminescence (EL) image analysis and failurequantification in solar panels. In this work, a method for determining image quality in terms of more accurate failure detection in PV panels through EL imaging is proposed. The goal of the paper is to highlight the different methods for image quality improvement and to determine if the enhanced image provides more useful diagnostic information for accurate micro cracks and fracture detection. From the work carried out in this paper, it is to be noted that averaging technique helps in improving the SNR value. Additionally, subtracting the background from the obtained averaged EL image proves to be an enhancing method for cell fracture identification and more number of edges are also detected which can be useful for micro crack quantification.

U2 - 10.1109/PVSC.2018.8547442

DO - 10.1109/PVSC.2018.8547442

M3 - Article in proceeding

T3 - I E E E Photovoltaic Specialists Conference. Conference Record

SP - 1

EP - 6

BT - Proceedings of 7th World Conference on Photovoltaic Energy Conversion

PB - IEEE Press

T2 - 7th World Conference on Photovoltaic Energy Conversion

Y2 - 10 June 2018 through 15 June 2018

ER -

Enhancement of Electroluminescence images for fault detection in photovoltaic panels

Abstract

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

Cite this