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...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848817677497270272 |
|---|---|
| author | M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib |
| author_facet | M. S., Jadin Kamarul Hawari, Ghazali Soib, Taib |
| author_sort | M. S., Jadin |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T01:25:34Z |
| format | Conference or Workshop Item |
| id | ump-5970 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:25:34Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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.. (Published) http://dx.doi.org/10.1109/SIECPC.2013.6550790 |
| 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 |
| title | 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_short | Thermal Condition Monitoring of Electrical Installations Based on Infrared Image Analysis
|
| title_sort | thermal condition monitoring of electrical installations based on infrared image analysis |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |