Infrared thermography based defect analysis of photovoltaic modules using machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.
Prif Awduron: | Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema |
---|---|
Awduron Eraill: | Rahman, Md. Mosaddequr |
Fformat: | Traethawd Ymchwil |
Iaith: | en_US |
Cyhoeddwyd: |
Brac University
2021
|
Pynciau: | |
Mynediad Ar-lein: | http://hdl.handle.net/10361/14367 |
Eitemau Tebyg
-
Infrared thermography based performance analysis of photovoltaic modules
gan: Amin, Moyukh, et al.
Cyhoeddwyd: (2019) -
A comparative study and performance analysis of poly and mono Si photovoltaic modules
gan: Islam, Mohaimenul
Cyhoeddwyd: (2020) -
Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
gan: Tasawar, Ihtyaz Kader, et al.
Cyhoeddwyd: (2021) -
Collision avoidance system proposed by a model using NRF24L01 and infrared sensor
gan: Khan, Salsabil
Cyhoeddwyd: (2018) -
Research on best peer finding using Q-learning using hotspot network
gan: Roy, Anu Pria
Cyhoeddwyd: (2017)