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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema
Άλλοι συγγραφείς: Rahman, Md. Mosaddequr
Μορφή: Thesis
Γλώσσα:en_US
Έκδοση: Brac University 2021
Θέματα:
Infrared thermography
YOLO
Photovoltaic
Hotspot
Machine learning
Διαθέσιμο Online:http://hdl.handle.net/10361/14367

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Παρόμοια τεκμήρια