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3D Research
Erschienen in: 3D Research 3/2018

01.09.2018 | 3DR Express

A Mamdani Fuzzy Logic System to Enhance Solar Cell Micro-Cracks Image Processing

verfasst von: Rashmi Chawla, Poonam Singal, Amit Kumar Garg

Erschienen in: 3D Research | Ausgabe 3/2018

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Abstract

Micro-cracks in solar Photo-Voltaic Cells (PVCs) can be formed in the vicinity of PVC/wafer manufacturing process or by thermal stress produced in transportation/handling or by inclement weather condition. Its insight is must as it reduces the efficiency of PVCs, enfeeble the cell constitution as well as affect the net manufactured production yield resulting in increase in production cost. The detection of these micro-cracks is strenuous owing to wafer’s heterogeneous textured base and involves two steps; first visualization of micro-cracks to imaging device, second efficient image processing technique to extract these micro-cracks from the captured image. In this paper Mamdani Fuzzy logic is proposed for extracting micro-cracks from solar PVCs images and comparison of performance analysis is done using MATLAB. The results show that using the proposed strategy, micro cracks visibility is much more prominent than its counterparts present in literature. To access local and remote output current data of solar panel the Internet of Things accreditation is done using Arduino and WiFi module.
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Metadaten
Titel
A Mamdani Fuzzy Logic System to Enhance Solar Cell Micro-Cracks Image Processing
verfasst von
Rashmi Chawla
Poonam Singal
Amit Kumar Garg
Publikationsdatum
01.09.2018
Verlag
3D Display Research Center
Erschienen in
3D Research / Ausgabe 3/2018
Elektronische ISSN: 2092-6731
DOI
https://doi.org/10.1007/s13319-018-0186-7

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