Name
Abstract | ||
|---|---|---|
Solar cells represent one of the most important sources of clean energy in modern societies. Solar cell manufacturing is a delicate process that often introduces defects that reduce cell efficiency or compromise durability. Current inspection systems detect and discard faulty cells, wasting a significant percentage of resources. We introduceCell Doctor, a new inspection system that uses state of the art techniques to locate and classify defects in solar cells and performs a diagnostic and treatment process to isolate or eliminate the defects.Cell Doctoruses a fully automatic process that can be included in a manufacturing line. Incoming solar cells are first moved with a robotic arm to an Electroluminescence diagnostic station, where they are imaged and analysed with a set of Gabor filters, a Principal Component Analysis technique, a Random Forest classifier and different image processing techniques to detect possible defects in the surface of the cell. After the diagnosis, a laser station performs an isolation or cutting process depending on the detected defects. In a final stage, the solar cells are characterised in terms of their I-V Curve and I-V Parameters, in a Solar Simulator station. We validated and testedCell Doctorwith a labelled dataset of images of monocrystalline silicon cells, obtaining an accuracy and recall above 90% forCracks,Area DefectsandFinger interruptions; and precision values of 77% for Finger Interruptions and above 90% forCracksandArea Defects.Which allowsCell Doctorto diagnose and repair solar cells in an industrial environment in a fully automatic way. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s10845-020-01642-6 | JOURNAL OF INTELLIGENT MANUFACTURING |
Keywords | DocType | Volume |
Photovoltaics, Solar cell manufacturing, Automatic inspection, Defect classification, Electroluminescence imaging, Random forest, PCA, Gabor filters | Journal | 32 |
Issue | ISSN | Citations |
4 | 0956-5515 | 2 |
PageRank | References | Authors |
0.39 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alvaro Rodriguez | 1 | 2 | 0.39 |
| Carlos Gonzalez | 2 | 2 | 0.39 |
| Andres Fernandez | 3 | 2 | 0.39 |
| Francisco J. Rodriguez | 4 | 153 | 19.73 |
| Tamara Delgado | 5 | 2 | 0.39 |
| Martin Bellman | 6 | 2 | 0.39 |