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

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