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.

Dades bibliogràfiques
Autors principals: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Altres autors: Rahman, Md. Mosaddequr
Format: Thesis
Idioma:en_US
Publicat: Brac University 2021
Matèries:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Accés en línia:http://hdl.handle.net/10361/14367

Internet

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

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