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.

Библиографические подробности
Главные авторы:	Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Другие авторы:	Rahman, Md. Mosaddequr
Формат:	Диссертация
Язык:	en_US
Опубликовано:	Brac University 2021
Предметы:	Infrared thermography YOLO Photovoltaic Hotspot Machine learning
Online-ссылка:	http://hdl.handle.net/10361/14367

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