FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3003936655> ?p ?o ?g. }

• W3003936655 endingPage "186" @default.
• W3003936655 startingPage "175" @default.
• W3003936655 abstract "Abstract With the rising use of photovoltaic and ongoing installation of large-scale photovoltaic systems worldwide, the automation of photovoltaic monitoring methods becomes important, as manual/visual inspection has limited applications. This research work deals with automatic detection of photovoltaic module defects in Infrared images with isolated deep learning and develop-model transfer deep learning techniques. An Infrared images dataset containing infrared images of normal operating and defective modules is collected and used to train the networks. The dataset is obtained from Infrared imaging performed on normal operating and defective photovoltaic modules with lab induced defects. An isolated learned model is trained from scratch using a light convolutional neural network design that achieved an average accuracy of 98.67%. For transfer learning, a base model is first developed (pre-trained) from electroluminescence images dataset of photovoltaic cells and then fine-tuned on infrared images dataset, that achieved an average accuracy of 99.23%. Both frameworks require low computation power and less time; and can be implemented with ordinary hardware. They also maintained real time prediction speed. The comparison shows that the develop-model transfer learning technique can help to improve the performance. In addition, we reviewed different kind of defects detectable from infrared imaging of photovoltaic modules, that can help in manual labelling for identifying different defect categories upon access to new huge data in future studies. Last of all, the presented frameworks are applied for experimental testing and qualitative evaluation." @default.
• W3003936655 created "2020-02-07" @default.
• W3003936655 creator A5004720599 @default.
• W3003936655 creator A5024265146 @default.
• W3003936655 creator A5037592037 @default.
• W3003936655 creator A5039480817 @default.
• W3003936655 creator A5062431247 @default.
• W3003936655 creator A5082844948 @default.
• W3003936655 date "2020-03-01" @default.
• W3003936655 modified "2023-10-10" @default.
• W3003936655 title "Automatic detection of photovoltaic module defects in infrared images with isolated and develop-model transfer deep learning" @default.
• W3003936655 cites W1917375685 @default.
• W3003936655 cites W2041509578 @default.
• W3003936655 cites W2070881660 @default.
• W3003936655 cites W2081890048 @default.
• W3003936655 cites W2157597705 @default.
• W3003936655 cites W2165698076 @default.
• W3003936655 cites W2179252089 @default.
• W3003936655 cites W2289732705 @default.
• W3003936655 cites W2379354547 @default.
• W3003936655 cites W2406907097 @default.
• W3003936655 cites W2546601847 @default.
• W3003936655 cites W2582151580 @default.
• W3003936655 cites W2602837459 @default.
• W3003936655 cites W2616219098 @default.
• W3003936655 cites W2781330401 @default.
• W3003936655 cites W2790462309 @default.
• W3003936655 cites W2813043034 @default.
• W3003936655 cites W2825063406 @default.
• W3003936655 cites W2883187578 @default.
• W3003936655 cites W2895777600 @default.
• W3003936655 cites W2899182826 @default.
• W3003936655 cites W2903179760 @default.
• W3003936655 cites W2908553731 @default.
• W3003936655 cites W2914238709 @default.
• W3003936655 cites W2915954212 @default.
• W3003936655 cites W2949761584 @default.
• W3003936655 cites W2963060806 @default.
• W3003936655 cites W2970924744 @default.
• W3003936655 cites W2980326480 @default.
• W3003936655 doi "https://doi.org/10.1016/j.solener.2020.01.055" @default.
• W3003936655 hasPublicationYear "2020" @default.
• W3003936655 type Work @default.
• W3003936655 sameAs 3003936655 @default.
• W3003936655 citedByCount "88" @default.
• W3003936655 countsByYear W30039366552020 @default.
• W3003936655 countsByYear W30039366552021 @default.
• W3003936655 countsByYear W30039366552022 @default.
• W3003936655 countsByYear W30039366552023 @default.
• W3003936655 crossrefType "journal-article" @default.
• W3003936655 hasAuthorship W3003936655A5004720599 @default.
• W3003936655 hasAuthorship W3003936655A5024265146 @default.
• W3003936655 hasAuthorship W3003936655A5037592037 @default.
• W3003936655 hasAuthorship W3003936655A5039480817 @default.
• W3003936655 hasAuthorship W3003936655A5062431247 @default.
• W3003936655 hasAuthorship W3003936655A5082844948 @default.
• W3003936655 hasConcept C119599485 @default.
• W3003936655 hasConcept C120665830 @default.
• W3003936655 hasConcept C121332964 @default.
• W3003936655 hasConcept C127313418 @default.
• W3003936655 hasConcept C127413603 @default.
• W3003936655 hasConcept C150899416 @default.
• W3003936655 hasConcept C154945302 @default.
• W3003936655 hasConcept C158355884 @default.
• W3003936655 hasConcept C173608175 @default.
• W3003936655 hasConcept C192562407 @default.
• W3003936655 hasConcept C2776175482 @default.
• W3003936655 hasConcept C31972630 @default.
• W3003936655 hasConcept C41008148 @default.
• W3003936655 hasConcept C41291067 @default.
• W3003936655 hasConcept C62649853 @default.
• W3003936655 hasConceptScore W3003936655C119599485 @default.
• W3003936655 hasConceptScore W3003936655C120665830 @default.
• W3003936655 hasConceptScore W3003936655C121332964 @default.
• W3003936655 hasConceptScore W3003936655C127313418 @default.
• W3003936655 hasConceptScore W3003936655C127413603 @default.
• W3003936655 hasConceptScore W3003936655C150899416 @default.
• W3003936655 hasConceptScore W3003936655C154945302 @default.
• W3003936655 hasConceptScore W3003936655C158355884 @default.
• W3003936655 hasConceptScore W3003936655C173608175 @default.
• W3003936655 hasConceptScore W3003936655C192562407 @default.
• W3003936655 hasConceptScore W3003936655C2776175482 @default.
• W3003936655 hasConceptScore W3003936655C31972630 @default.
• W3003936655 hasConceptScore W3003936655C41008148 @default.
• W3003936655 hasConceptScore W3003936655C41291067 @default.
• W3003936655 hasConceptScore W3003936655C62649853 @default.
• W3003936655 hasFunder F4320321078 @default.
• W3003936655 hasFunder F4320321133 @default.
• W3003936655 hasLocation W30039366551 @default.
• W3003936655 hasOpenAccess W3003936655 @default.
• W3003936655 hasPrimaryLocation W30039366551 @default.
• W3003936655 hasRelatedWork W1891287906 @default.
• W3003936655 hasRelatedWork W1969923398 @default.
• W3003936655 hasRelatedWork W2765107853 @default.
• W3003936655 hasRelatedWork W2772917594 @default.
• W3003936655 hasRelatedWork W2807706688 @default.
• W3003936655 hasRelatedWork W2899084033 @default.
• W3003936655 hasRelatedWork W2941215368 @default.

• next