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.

Podrobná bibliografie
Hlavní autoři: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Další autoři: Rahman, Md. Mosaddequr
Médium: Diplomová práce
Jazyk:en_US
Vydáno: Brac University 2021
Témata:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
On-line přístup:http://hdl.handle.net/10361/14367

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