Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021.

Détails bibliographiques
Auteurs principaux: Tasawar, Ihtyaz Kader, Tanzeem, Abyaz Kader, Ahmed, Tahmid, Zarin, Shah Faiza
Autres auteurs: Rahman, Md. Mosaddequr
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
Deep Neural Network
Convolutional Neural Network
Infrared Image Processing
Photovoltaic Cell
Fault Diagnosis
Hotspot Detection
Deep Learning
Accès en ligne:http://hdl.handle.net/10361/15153

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