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.

Bibliografske podrobnosti
Main Authors: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Drugi avtorji: Rahman, Md. Mosaddequr
Format: Thesis
Jezik:en_US
Izdano: Brac University 2021
Teme:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Online dostop:http://hdl.handle.net/10361/14367

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