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.

Detalles Bibliográficos
Main Authors: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Outros autores: Rahman, Md. Mosaddequr
Formato: Thesis
Idioma:en_US
Publicado: Brac University 2021
Subjects:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Acceso en liña:http://hdl.handle.net/10361/14367

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