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.

Dades bibliogràfiques
Autors principals: Tasawar, Ihtyaz Kader, Tanzeem, Abyaz Kader, Ahmed, Tahmid, Zarin, Shah Faiza
Altres autors: Rahman, Md. Mosaddequr
Format: Thesis
Idioma:English
Publicat: Brac University 2021
Matèries:
Deep Neural Network
Convolutional Neural Network
Infrared Image Processing
Photovoltaic Cell
Fault Diagnosis
Hotspot Detection
Deep Learning
Accés en línia:http://hdl.handle.net/10361/15153

Internet

http://hdl.handle.net/10361/15153

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