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.

Bibliografische gegevens
Hoofdauteurs: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Andere auteurs: Rahman, Md. Mosaddequr
Formaat: Thesis
Taal:en_US
Gepubliceerd in: Brac University 2021
Onderwerpen:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Online toegang:http://hdl.handle.net/10361/14367

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