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.

Detalhes bibliográficos
Principais autores: Tasawar, Ihtyaz Kader, Tanzeem, Abyaz Kader, Ahmed, Tahmid, Zarin, Shah Faiza
Outros Autores: Rahman, Md. Mosaddequr
Formato: Tese
Idioma:English
Publicado em: Brac University 2021
Assuntos:
Deep Neural Network
Convolutional Neural Network
Infrared Image Processing
Photovoltaic Cell
Fault Diagnosis
Hotspot Detection
Deep Learning
Acesso em linha:http://hdl.handle.net/10361/15153

Internet

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

Registros relacionados