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.
Автори: | Mobin, Ovib Hassan, Tajwar, Tahmid, Khan, Fariha Reza, Hossain, Shara Fatema |
---|---|
Інші автори: | Rahman, Md. Mosaddequr |
Формат: | Дисертація |
Мова: | en_US |
Опубліковано: |
Brac University
2021
|
Предмети: | |
Онлайн доступ: | http://hdl.handle.net/10361/14367 |
Схожі ресурси
-
Infrared thermography based performance analysis of photovoltaic modules
за авторством: Amin, Moyukh, та інші
Опубліковано: (2019) -
A comparative study and performance analysis of poly and mono Si photovoltaic modules
за авторством: Islam, Mohaimenul
Опубліковано: (2020) -
Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
за авторством: Tasawar, Ihtyaz Kader, та інші
Опубліковано: (2021) -
Collision avoidance system proposed by a model using NRF24L01 and infrared sensor
за авторством: Khan, Salsabil
Опубліковано: (2018) -
Research on best peer finding using Q-learning using hotspot network
за авторством: Roy, Anu Pria
Опубліковано: (2017)