Object
Title: Infrared Image Processing Algorithm for Solar Cell Defect Assessment
Co-author(s) :
Abstract:
The detection and assessment of solar cell defects are highly important during the development, production and usage of photovoltaic modules. Solar cell defects can be detected by different methods including electroluminescence, photoluminescence and thermography. In this paper, the algorithm for solar cell defect assessment by infrared image processing is proposed. The algorithm is based on comparison of infrared images of testing cell and the sample of high quality solar cell. For the algorithm realization, the NI LabVIEW and NI Vision Assistant applications are used. The suggested method of defects assessment allows to realize the solar cell infrared image processing automatically with the high definition.
Identifier:
oai:noad.sci.am:136156
ISBN:
Language:
URL:
Country:
Year:
Time period:
Conference title:
33rd European Photovoltaic Solar Energy Conference and Exhibition
Place:
Participation type:
Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Conferences
Last modified:
Apr 19, 2021
In our library since:
Apr 19, 2021
Number of object content hits:
20
All available object's versions:
https://noad.sci.am/publication/149386
Show description in RDF format:
Show description in OAI-PMH format:
| Edition name | Date |
|---|---|
| A. Hovhannisyan, Infrared Image Processing Algorithm for Solar Cell Defect Assessment | Apr 19, 2021 |
