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.

Bibliographische Detailangaben
Hauptverfasser: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Weitere Verfasser: Rahman, Md. Mosaddequr
Format: Abschlussarbeit
Sprache:en_US
Veröffentlicht: Brac University 2021
Schlagworte:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Online Zugang:http://hdl.handle.net/10361/14367

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