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.

Dettagli Bibliografici
Autori principali:	Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Altri autori:	Rahman, Md. Mosaddequr
Natura:	Tesi
Lingua:	en_US
Pubblicazione:	Brac University 2021
Soggetti:	Infrared thermography YOLO Photovoltaic Hotspot Machine learning
Accesso online:	http://hdl.handle.net/10361/14367

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