Automated Fault Classification in Solar Panels Using Transfer Learning with EfficientNet and ResNet Models

Basit Öğe Kaydı
dc.contributor.authorAkınca, Rojbin
dc.contributor.authorFırat, Hüseyin
dc.contributor.authorAsker, Mehmet Emin
dc.date.accessioned2025-03-08T18:27:27Z
dc.date.available2025-03-08T18:27:27Z
dc.date.issued2024
dc.departmentDicle Üniversitesi
dc.description.abstractClassifying and detecting faults in solar panels using deep learning methods is crucial to ensuring their efficiency and longevity. In this study, we propose a model that concatenates ResNet and EfficientNet to classify faults in solar panel images. ResNet's advantage lies in its residual connections, which help mitigate the vanishing gradient problem and improve training of deep networks. EfficientNet is known for its scalability and efficiency, providing a balanced trade-off between accuracy and computational cost by optimizing network depth, width, and resolution. Together, these models enhance fault classification accuracy while maintaining efficiency. To evaluate the performance of the proposed model, experimental studies were conducted using a solar panel dataset with six classes: bird-drops, covered snow, dusty, clean, electrical and physical damage on the surfaces of solar panels. The results demonstrated that the ResNet101 + EfficientNetB1 concatenation achieved superior performance, with an accuracy of 87.55%, F1-score of 88.13%, recall of 88.75%, and precision of 87.92%. This concatenation provided significant improvements in fault classification metrics compared to individual models.
dc.identifier.doi10.36222/ejt.1533783
dc.identifier.endpage173
dc.identifier.issn2536-5010
dc.identifier.issn2536-5134
dc.identifier.issue2
dc.identifier.startpage164
dc.identifier.urihttps://doi.org/10.36222/ejt.1533783
dc.identifier.urihttps://hdl.handle.net/11468/31008
dc.identifier.volume14
dc.language.isoen
dc.publisherHibetullah KILIÇ
dc.relation.ispartofEuropean Journal of Technique (EJT)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_DergiPark_21250205
dc.subjectSolar panel
dc.subjectTransfer learning
dc.subjectEfficientNet
dc.subjectResNet
dc.subjectFault classification
dc.titleAutomated Fault Classification in Solar Panels Using Transfer Learning with EfficientNet and ResNet Models
dc.typeArticle

Dosyalar

Koleksiyon

DergiPark Kayıtları Koleksiyonu