Research on Solar Panels Online Defect Detecting Method

Article Preview

Abstract:

Taking solar photovoltaic panels as the research object, infrared diagnosis technology is used to inspect the quality of crystalline silicon solar panels, and using infrared detecting principle of infrared thermal imager to design a set of device, which can detect the internal and surface defects of the solar panels. Common defects such as black piece, broken gate, crack and fragment can be detected and classified according to the infrared image characteristics of the four kinds of defects, also it can quickly locate the defects. Experiments show that, after image processing of the images captured by the infrared imager, it can be easily and visually to determine whether a photovoltaic panels is flawed. Last but not least, to classify the defects.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

938-941

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] A.Latif-amet, A, Ertuzun, A, Ercil, An efficient method for texture defect detection : sub-band domain co-occurrence matrices. Image and Vision Computing(2000).

DOI: 10.1016/s0262-8856(99)00062-1

Google Scholar

[2] Luque A,Sala G,Arboiro J C. Electric and thermal model for non-uniformly illuminated concentration cells. Solar Energy Materials and Solar Cells(1998).

DOI: 10.1016/s0927-0248(97)00228-6

Google Scholar

[3] King D L,Kratochvil J A, etal. Application for infrared image equipment in photovoltaic Cell. Module, and System Testing, IEEE(2000).

Google Scholar

[4] Z. Fu, Y.Z. Zhao, Y. Liu. Solar Cell Crack Inspection by Image Processing. International Conference on the Business of Electronic Product Reliability and Liability(2004).

DOI: 10.1109/beprl.2004.1308153

Google Scholar

[5] Cl. Buerhop, D. Schlegel, M. Niess , C. Vodermayer, R. Weißmann , C.J. Brabec. Reliability of IR-imaging of PV-plants under operating conditions[J]. Solar Energy Materials & Solar Cells, 2012(107): 154-164.

DOI: 10.1016/j.solmat.2012.07.011

Google Scholar

[6] http: /www. ne21. com/news/show-52969. html.

Google Scholar