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.

Bibliographische Detailangaben
Hauptverfasser: Tasawar, Ihtyaz Kader, Tanzeem, Abyaz Kader, Ahmed, Tahmid, Zarin, Shah Faiza
Weitere Verfasser: Rahman, Md. Mosaddequr
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2021
Schlagworte:
Deep Neural Network
Convolutional Neural Network
Infrared Image Processing
Photovoltaic Cell
Fault Diagnosis
Hotspot Detection
Deep Learning
Online Zugang:http://hdl.handle.net/10361/15153

Online

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

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