Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i

The main objective of this project is to create an intelligent model using image processing techniques in order to categorize the internal fault to four categories, which are low, intermediate, medium and high. Sample of internal fault location are captured using infrared thermography camera where t...

Full description

Saved in:

Bibliographic Details
Main Author:	Shafi'i, Mohd Anuar
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Information technology Information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/84771/1/84771.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.84771
record_format	uketd_dc
spelling	my-uitm-ir.847712024-07-30T02:02:21Z Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i 2010 Shafi'i, Mohd Anuar Information technology. Information systems The main objective of this project is to create an intelligent model using image processing techniques in order to categorize the internal fault to four categories, which are low, intermediate, medium and high. Sample of internal fault location are captured using infrared thermography camera where the RGB color image are stored and processed using mat lab. Processing involves impixel region which includes creating a Pixel Region tool associated with the image displayed in the current figure, called the target image. This, information is then being used to train a three layer Artificial Neural Network (ANN) using Leven berg Marquardt algorithm. A 168 samples are used as training, whilst another 168 samples are used for testing. The optimized model is evaluated and validated through analysis of performance indicators frequently used in any classification model. 2010 Thesis https://ir.uitm.edu.my/id/eprint/84771/ https://ir.uitm.edu.my/id/eprint/84771/1/84771.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Hamzah, Noraliza
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Hamzah, Noraliza
topic	Information technology Information systems
spellingShingle	Information technology Information systems Shafi'i, Mohd Anuar Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i
description	The main objective of this project is to create an intelligent model using image processing techniques in order to categorize the internal fault to four categories, which are low, intermediate, medium and high. Sample of internal fault location are captured using infrared thermography camera where the RGB color image are stored and processed using mat lab. Processing involves impixel region which includes creating a Pixel Region tool associated with the image displayed in the current figure, called the target image. This, information is then being used to train a three layer Artificial Neural Network (ANN) using Leven berg Marquardt algorithm. A 168 samples are used as training, whilst another 168 samples are used for testing. The optimized model is evaluated and validated through analysis of performance indicators frequently used in any classification model.
format	Thesis
qualification_level	Bachelor degree
author	Shafi'i, Mohd Anuar
author_facet	Shafi'i, Mohd Anuar
author_sort	Shafi'i, Mohd Anuar
title	Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i
title_short	Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i
title_full	Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i
title_fullStr	Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i
title_full_unstemmed	Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i
title_sort	categorization of internal faults by using artificial neural network (ann) / mohd anuar shafi'i
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/84771/1/84771.pdf
_version_	1811768702947819520

Categorization of internal faults by using Artificial Neural Network (ANN) / Mohd Anuar Shafi'i

Similar Items