Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman

The title of this project is 'Condition Based Monitoring (CBM) of transformer utilizing Infrared Thermography (IRT). Thermography technique is applied to the external parts of the transformer, such as housing, bushing/ termination and cooling system. This project is to monitor the operation and...

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Bibliographic Details
Main Author:	Sulaiman, Abdul Aziz
Format:	Thesis
Language:	English
Published:	2003
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/78575/1/78575.pdf
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id	my-uitm-ir.78575
record_format	uketd_dc
spelling	my-uitm-ir.785752023-07-27T07:01:20Z Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman 2003 Sulaiman, Abdul Aziz Neural networks (Computer science) Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers The title of this project is 'Condition Based Monitoring (CBM) of transformer utilizing Infrared Thermography (IRT). Thermography technique is applied to the external parts of the transformer, such as housing, bushing/ termination and cooling system. This project is to monitor the operation and its behavior (physically) of transformer using infrared camera. Some reviews, calibrating data and empirical surveys on transformers operation and its behavior need to perform better understanding on its characteristic. The data is also considered to make comfortable condition in the routine test of utilities (preventive maintenance). The primary objectives are to provide an early detection of defect and addressed it before they lead to major breakdown. This paper will also prove that condition monitoring or predictive maintenance is very beneficial compared to preventive maintenance in terms of increasing equipment availability, reduced maintenance cost and more efficient repair. These papers explain Artificial Neural Network (ANN) is applied to forecast the shortterm temperature for a transformer. So this paper proved that the single-layer networks then in use were theoretically incapable of solving many simple problems. ANN also now what can happen at transformer one or two year later. 2003 Thesis https://ir.uitm.edu.my/id/eprint/78575/ https://ir.uitm.edu.my/id/eprint/78575/1/78575.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Che Mat Harris, Harizan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Che Mat Harris, Harizan
topic	Neural networks (Computer science) Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Neural networks (Computer science) Sulaiman, Abdul Aziz Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman
description	The title of this project is 'Condition Based Monitoring (CBM) of transformer utilizing Infrared Thermography (IRT). Thermography technique is applied to the external parts of the transformer, such as housing, bushing/ termination and cooling system. This project is to monitor the operation and its behavior (physically) of transformer using infrared camera. Some reviews, calibrating data and empirical surveys on transformers operation and its behavior need to perform better understanding on its characteristic. The data is also considered to make comfortable condition in the routine test of utilities (preventive maintenance). The primary objectives are to provide an early detection of defect and addressed it before they lead to major breakdown. This paper will also prove that condition monitoring or predictive maintenance is very beneficial compared to preventive maintenance in terms of increasing equipment availability, reduced maintenance cost and more efficient repair. These papers explain Artificial Neural Network (ANN) is applied to forecast the shortterm temperature for a transformer. So this paper proved that the single-layer networks then in use were theoretically incapable of solving many simple problems. ANN also now what can happen at transformer one or two year later.
format	Thesis
qualification_level	Bachelor degree
author	Sulaiman, Abdul Aziz
author_facet	Sulaiman, Abdul Aziz
author_sort	Sulaiman, Abdul Aziz
title	Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman
title_short	Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman
title_full	Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman
title_fullStr	Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman
title_full_unstemmed	Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman
title_sort	condition monitoring for transformers using infrared camera and artificial neural network-tnbd jitra / abdul aziz sulaiman
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2003
url	https://ir.uitm.edu.my/id/eprint/78575/1/78575.pdf
_version_	1783736258644672512

Condition monitoring for transformers using infrared camera and artificial neural network-TNBD Jitra / Abdul Aziz Sulaiman

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