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.

Dettagli Bibliografici
Autori principali:	Tasawar, Ihtyaz Kader, Tanzeem, Abyaz Kader, Ahmed, Tahmid, Zarin, Shah Faiza
Altri autori:	Rahman, Md. Mosaddequr
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2021
Soggetti:	Deep Neural Network Convolutional Neural Network Infrared Image Processing Photovoltaic Cell Fault Diagnosis Hotspot Detection Deep Learning
Accesso online:	http://hdl.handle.net/10361/15153

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