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.

Xehetasun bibliografikoak
Egile Nagusiak: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Beste egile batzuk: Rahman, Md. Mosaddequr
Formatua: Thesis
Hizkuntza:en_US
Argitaratua: Brac University 2021
Gaiak:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Sarrera elektronikoa:http://hdl.handle.net/10361/14367

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