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.

Detalles Bibliográficos
Autores principales: Tasawar, Ihtyaz Kader, Tanzeem, Abyaz Kader, Ahmed, Tahmid, Zarin, Shah Faiza
Otros Autores: Rahman, Md. Mosaddequr
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2021
Materias:
Deep Neural Network
Convolutional Neural Network
Infrared Image Processing
Photovoltaic Cell
Fault Diagnosis
Hotspot Detection
Deep Learning
Acceso en línea:http://hdl.handle.net/10361/15153

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