Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis

Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis

Infrared imaging is a commonly used tool for monitoring and assessing the thermal condition of electrical installations for ensuring a reliable power supply. However, the conventional evaluation approach is quite time consuming as the image is analyzed manually by a qualified personnel. Therefore, t...

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Main Authors: M. S., Jadin, Kamarul Hawari, Ghazali, Soib, Taib
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/5970/
http://umpir.ump.edu.my/id/eprint/5970/
http://umpir.ump.edu.my/id/eprint/5970/1/Thermal_condition_monitoring_of_electrical_installations_based_on_infrared_image_analysis.pdf
id ump-5970
recordtype eprints
spelling ump-59702018-02-21T05:12:30Z http://umpir.ump.edu.my/id/eprint/5970/ Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib TK Electrical engineering. Electronics Nuclear engineering Infrared imaging is a commonly used tool for monitoring and assessing the thermal condition of electrical installations for ensuring a reliable power supply. However, the conventional evaluation approach is quite time consuming as the image is analyzed manually by a qualified personnel. Therefore, this paper proposed a fast thermal anomaly detection and classification based on qualitative infrared image analysis. First, regions of interest (ROIs) are semi-automatically selected by employing normalized cross correlation (NCC) for finding similar objects in the image. Statistical features are extracted from each detected region and classified using multilayer perceptron (MLP) neural network for determining the thermal condition of electrical equipment. The overall accuracy obtained by the proposed method is approximately 95%, which is highly encouraging. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5970/1/Thermal_condition_monitoring_of_electrical_installations_based_on_infrared_image_analysis.pdf M. S., Jadin and Kamarul Hawari, Ghazali and Soib, Taib (2013) Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis. In: Electronics, Communications and Photonics Conference (SIECPC), 2013 Saudi International, 27-30 April 2013 , Riyadh. pp. 1-6.. http://dx.doi.org/10.1109/SIECPC.2013.6550790
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
M. S., Jadin
Kamarul Hawari, Ghazali
Soib, Taib
Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
description Infrared imaging is a commonly used tool for monitoring and assessing the thermal condition of electrical installations for ensuring a reliable power supply. However, the conventional evaluation approach is quite time consuming as the image is analyzed manually by a qualified personnel. Therefore, this paper proposed a fast thermal anomaly detection and classification based on qualitative infrared image analysis. First, regions of interest (ROIs) are semi-automatically selected by employing normalized cross correlation (NCC) for finding similar objects in the image. Statistical features are extracted from each detected region and classified using multilayer perceptron (MLP) neural network for determining the thermal condition of electrical equipment. The overall accuracy obtained by the proposed method is approximately 95%, which is highly encouraging.
format Conference or Workshop Item
author M. S., Jadin
Kamarul Hawari, Ghazali
Soib, Taib
author_facet M. S., Jadin
Kamarul Hawari, Ghazali
Soib, Taib
author_sort M. S., Jadin
title Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
title_short Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
title_full Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
title_fullStr Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
title_full_unstemmed Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
title_sort thermal condition monitoring of electrical installations based on infrared image analysis
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/5970/
http://umpir.ump.edu.my/id/eprint/5970/
http://umpir.ump.edu.my/id/eprint/5970/1/Thermal_condition_monitoring_of_electrical_installations_based_on_infrared_image_analysis.pdf
first_indexed 2023-09-18T22:01:26Z
last_indexed 2023-09-18T22:01:26Z
_version_ 1777414424891490304

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