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Identifying defective solar cells in electroluminescence images using deep feature representations

Identifying defective solar cells in electroluminescence images using deep feature representations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1fc9fb24ce6418e90a01c9cd40d8a0d

Identifying defective solar cells in electroluminescence images using deep feature representations

About this item

Full title

Identifying defective solar cells in electroluminescence images using deep feature representations

Publisher

United States: PeerJ. Ltd

Journal title

PeerJ. Computer science, 2022-05, Vol.8, p.e992-e992, Article e992

Language

English

Formats

Publication information

Publisher

United States: PeerJ. Ltd

More information

Scope and Contents

Contents

Electroluminescence (EL) imaging is a technique for acquiring images of photovoltaic (PV) modules and examining them for surface defects. Analysis of EL images has been manually performed by visual inspection of images by experts. This manual procedure is tedious, time-consuming, subjective, and requires deep expert knowledge. In this work, a hybri...

Alternative Titles

Full title

Identifying defective solar cells in electroluminescence images using deep feature representations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f1fc9fb24ce6418e90a01c9cd40d8a0d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f1fc9fb24ce6418e90a01c9cd40d8a0d

Other Identifiers

ISSN

2376-5992

E-ISSN

2376-5992

DOI

10.7717/peerj-cs.992

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