Comparison of thresholding techniques for extraction of electrical hotspots from infrared images
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.
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Brac University
2021
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| Länkar: | http://hdl.handle.net/10361/14366 |
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10361-14366 |
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10361-143662021-03-27T21:01:16Z Comparison of thresholding techniques for extraction of electrical hotspots from infrared images Abir, Asaduzzaman Joy, Md. Rifat Islam Fuad, Mobtasim Emon, Nafiul Ahmed Huda, A. S. Nazmul Department of Electrical and Electronic Engineering, Brac University IRT Thresholding Condition monitoring Electrical equipment’s Hotspot detection This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 112-115). The objective of this study is to evaluate the performance of different thresholding techniques to extract the hotspot of electrical equipment’s through IRT imaging. Abnormal thermal pattern is showed by faulty electrical equipment’s compared to the regular and fault free components in the same condition. Detecting hotpots is very important to protect the equipment from compete failure or fire hazard. In production line sudden fault and shutdown causes huge loss. That’s why using thermal imaging can warn us before sudden fault by giving heat signature of the equipment. For getting the correct hotspot area from IRT image, different thresholding method is used by many researchers and technical person. However, for implementing automatic inspection of electrical equipment’s using thresholding techniques it is important to know which of the particular thresholding technique will perform best. For this reason, in this study seven different thresholding technique was applied to 24 different sample images of electrical equipment to measure the overall performance of the seven well known thresholding techniques. So, the result from this study will help in future to implement automatic thresholding-based condition monitoring of electrical equipment’s to detect any fault criteria without stopping the equipment’s or disassembling them. Asaduzzaman Abir Md. Rifat Islam Joy Mobtasim Fuad Nafiul Ahmed Emon B. Electrical and Electronic Engineering 2021-03-21T07:42:07Z 2021-03-21T07:42:07Z 2020 2020-10 Thesis ID: 19121147 ID: 16321066 ID: 15121011 ID: 15221006 http://hdl.handle.net/10361/14366 en_US Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 115 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
IRT Thresholding Condition monitoring Electrical equipment’s Hotspot detection |
| spellingShingle |
IRT Thresholding Condition monitoring Electrical equipment’s Hotspot detection Abir, Asaduzzaman Joy, Md. Rifat Islam Fuad, Mobtasim Emon, Nafiul Ahmed Comparison of thresholding techniques for extraction of electrical hotspots from infrared images |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020. |
| author2 |
Huda, A. S. Nazmul |
| author_facet |
Huda, A. S. Nazmul Abir, Asaduzzaman Joy, Md. Rifat Islam Fuad, Mobtasim Emon, Nafiul Ahmed |
| format |
Thesis |
| author |
Abir, Asaduzzaman Joy, Md. Rifat Islam Fuad, Mobtasim Emon, Nafiul Ahmed |
| author_sort |
Abir, Asaduzzaman |
| title |
Comparison of thresholding techniques for extraction of electrical hotspots from infrared images |
| title_short |
Comparison of thresholding techniques for extraction of electrical hotspots from infrared images |
| title_full |
Comparison of thresholding techniques for extraction of electrical hotspots from infrared images |
| title_fullStr |
Comparison of thresholding techniques for extraction of electrical hotspots from infrared images |
| title_full_unstemmed |
Comparison of thresholding techniques for extraction of electrical hotspots from infrared images |
| title_sort |
comparison of thresholding techniques for extraction of electrical hotspots from infrared images |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/14366 |
| work_keys_str_mv |
AT abirasaduzzaman comparisonofthresholdingtechniquesforextractionofelectricalhotspotsfrominfraredimages AT joymdrifatislam comparisonofthresholdingtechniquesforextractionofelectricalhotspotsfrominfraredimages AT fuadmobtasim comparisonofthresholdingtechniquesforextractionofelectricalhotspotsfrominfraredimages AT emonnafiulahmed comparisonofthresholdingtechniquesforextractionofelectricalhotspotsfrominfraredimages |
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1814309424910565376 |