Infrared thermography based defect analysis of photovoltaic modules using machine learning

Infrared thermography based defect analysis of photovoltaic modules using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.

Bibliografiset tiedot
Päätekijät: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Muut tekijät: Rahman, Md. Mosaddequr
Aineistotyyppi: Opinnäyte
Kieli:en_US
Julkaistu: Brac University 2021
Aiheet:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Linkit:http://hdl.handle.net/10361/14367

Internet

http://hdl.handle.net/10361/14367

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