A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings

Maintaining the reliability of electrical installation has become part of the energy efficiency practices in building. The degradation of electrical installations can cause overheating, which can lead to subsequent failure of the equipments that can potentially result in unplanned power outages, pos...

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Main Authors:	M. S., Jadin, A. S., Nazmul Huda, Soib, Taib, Dahaman, Ishak
Format:	Article
Language:	English
Published:	Elsevier Ltd 2012
Subjects:	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8762/ http://umpir.ump.edu.my/id/eprint/8762/ http://umpir.ump.edu.my/id/eprint/8762/ http://umpir.ump.edu.my/id/eprint/8762/1/fkee-2012-shawal-Semi-Automatic%20Approach-art.pdf

id	ump-8762
recordtype	eprints
spelling	ump-87622018-04-18T00:26:45Z http://umpir.ump.edu.my/id/eprint/8762/ A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings M. S., Jadin A. S., Nazmul Huda Soib, Taib Dahaman, Ishak Q Science (General) TK Electrical engineering. Electronics Nuclear engineering Maintaining the reliability of electrical installation has become part of the energy efficiency practices in building. The degradation of electrical installations can cause overheating, which can lead to subsequent failure of the equipments that can potentially result in unplanned power outages, possible injury and fire hazard. In addition, the efficiency of an electrical system becomes low prior to failure, thus energy is spent generating heat and causing unnecessary energy loses. Therefore, early prevention is required to avoid this situation by monitoring the reliability of the electrical installations through energy audit practices. This article proposes a semi-automatic approach for evaluating the thermal condition of electrical installations within the building in Malaysia by analyzing its infrared image. Initially the interest regions of the images are manually segmented. Then the statistical features of first order histogram and gray level co-occurrence matrix features as well as the differences of feature parameters between hot and reference regions are extracted from segmented regions. Principle component analysis is applied for the best features selection and at the final stage, the condition of electrical equipments will be classified using multilayered perceptron neural network. The performances of multilayered perceptron networks have been compared and tested with various training algorithms. The classification accuracy of multilayered perceptron networks are also compared with discriminant analysis classifier and it is found that the multilayered perceptron network using Levenberg–Marquardt algorithm gives the best testing performance. The result shows that the maximum testing accuracy 78.5% was obtained. Elsevier Ltd 2012-12-31 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8762/1/fkee-2012-shawal-Semi-Automatic%20Approach-art.pdf M. S., Jadin and A. S., Nazmul Huda and Soib, Taib and Dahaman, Ishak (2012) A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings. Energy and Buildings, 55. pp. 585-591. ISSN 0378-7788 http://dx.doi.org/10.1016/j.enbuild.2012.09.014 DOI: 10.1016/j.enbuild.2012.09.014
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	Q Science (General) TK Electrical engineering. Electronics Nuclear engineering M. S., Jadin A. S., Nazmul Huda Soib, Taib Dahaman, Ishak A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings
description	Maintaining the reliability of electrical installation has become part of the energy efficiency practices in building. The degradation of electrical installations can cause overheating, which can lead to subsequent failure of the equipments that can potentially result in unplanned power outages, possible injury and fire hazard. In addition, the efficiency of an electrical system becomes low prior to failure, thus energy is spent generating heat and causing unnecessary energy loses. Therefore, early prevention is required to avoid this situation by monitoring the reliability of the electrical installations through energy audit practices. This article proposes a semi-automatic approach for evaluating the thermal condition of electrical installations within the building in Malaysia by analyzing its infrared image. Initially the interest regions of the images are manually segmented. Then the statistical features of first order histogram and gray level co-occurrence matrix features as well as the differences of feature parameters between hot and reference regions are extracted from segmented regions. Principle component analysis is applied for the best features selection and at the final stage, the condition of electrical equipments will be classified using multilayered perceptron neural network. The performances of multilayered perceptron networks have been compared and tested with various training algorithms. The classification accuracy of multilayered perceptron networks are also compared with discriminant analysis classifier and it is found that the multilayered perceptron network using Levenberg–Marquardt algorithm gives the best testing performance. The result shows that the maximum testing accuracy 78.5% was obtained.
format	Article
author	M. S., Jadin A. S., Nazmul Huda Soib, Taib Dahaman, Ishak
author_facet	M. S., Jadin A. S., Nazmul Huda Soib, Taib Dahaman, Ishak
author_sort	M. S., Jadin
title	A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings
title_short	A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings
title_full	A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings
title_fullStr	A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings
title_full_unstemmed	A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings
title_sort	semi-automatic approach for thermographic inspection of electrical installations within buildings
publisher	Elsevier Ltd
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/8762/ http://umpir.ump.edu.my/id/eprint/8762/ http://umpir.ump.edu.my/id/eprint/8762/ http://umpir.ump.edu.my/id/eprint/8762/1/fkee-2012-shawal-Semi-Automatic%20Approach-art.pdf
first_indexed	2023-09-18T22:06:41Z
last_indexed	2023-09-18T22:06:41Z
_version_	1777414754964340736

A Semi-Automatic Approach for Thermographic Inspection of Electrical Installations Within Buildings

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