Characterization of cellulose bridging pattern in transformer oil using feature extraction technique
Cellulose; Deterioration; Extraction; Insulating oil; Insulation; Oil filled transformers; Textures; Cellulose bridging; Early prediction; Electrical insulating properties; Feature descriptors; Feature extraction techniques; Features extraction; Highest temperature; Image processing tools; Shape fea...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-270352023-05-29T17:38:53Z Characterization of cellulose bridging pattern in transformer oil using feature extraction technique Mustafa N.B.A. Ramasamy I.D. Nordin F.H. Ali N.H.N. Zainuddin H. Daud M.M. 57191952020 58069129200 25930510500 58069058300 26423386300 57205596095 Cellulose; Deterioration; Extraction; Insulating oil; Insulation; Oil filled transformers; Textures; Cellulose bridging; Early prediction; Electrical insulating properties; Feature descriptors; Feature extraction techniques; Features extraction; Highest temperature; Image processing tools; Shape features; Texture features; Feature extraction; Arching; Cellulose; Extraction; Formation; Images; Index Terms; Insulating Oil; Thickness Transformer oil or insulating oil is stable at high temperatures and has excellent electrical insulating properties. The most frequent problems occurred in transformer were related to the defects and weakness of the insulation systems. Many diagnostic methods have been introduced to provide the reliable assessment of insulating oil quality. Hence, in this work, image processing technique known as feature extraction is used to measure the cellulose bridging thickness in pre-bridging and bridging stage. These two stages were considered as early prediction before breakdown occurs. The cellulose bridging formation recorded in three selected types of transformer oils which include MIDEL 7131, PFAE and Gemini X mineral oil. The cellulose bridging images were captured from the bridging formation videos and 60 images were chosen from the extracted cellulose bridging images for each transformer oil. The 60 images were divided equally for pre-bridging stage and bridging stage. The captured images were then fed into feature extraction process to extract eight feature descriptors which include area, minor-axis length, major-axis length, orientation, contrast, correlation, energy and homogeneity. In our findings, the pixel values increase proportionally with the cellulose bridging thickness. Hence, distinct pattern of pre-bridging and bridging stages were illustrated in all feature descriptors. With this technique, an early prediction can be made to analyze the deterioration of transformer oil. � 2022 IEEE. Final 2023-05-29T09:38:53Z 2023-05-29T09:38:53Z 2022 Conference Paper 10.1109/PECon54459.2022.9987705 2-s2.0-85146418956 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146418956&doi=10.1109%2fPECon54459.2022.9987705&partnerID=40&md5=5964ced54547e702f13c2b78418e08c9 https://irepository.uniten.edu.my/handle/123456789/27035 219 224 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Cellulose; Deterioration; Extraction; Insulating oil; Insulation; Oil filled transformers; Textures; Cellulose bridging; Early prediction; Electrical insulating properties; Feature descriptors; Feature extraction techniques; Features extraction; Highest temperature; Image processing tools; Shape features; Texture features; Feature extraction; Arching; Cellulose; Extraction; Formation; Images; Index Terms; Insulating Oil; Thickness |
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57191952020 |
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57191952020 Mustafa N.B.A. Ramasamy I.D. Nordin F.H. Ali N.H.N. Zainuddin H. Daud M.M. |
| format |
Conference Paper |
| author |
Mustafa N.B.A. Ramasamy I.D. Nordin F.H. Ali N.H.N. Zainuddin H. Daud M.M. |
| spellingShingle |
Mustafa N.B.A. Ramasamy I.D. Nordin F.H. Ali N.H.N. Zainuddin H. Daud M.M. Characterization of cellulose bridging pattern in transformer oil using feature extraction technique |
| author_sort |
Mustafa N.B.A. |
| title |
Characterization of cellulose bridging pattern in transformer oil using feature extraction technique |
| title_short |
Characterization of cellulose bridging pattern in transformer oil using feature extraction technique |
| title_full |
Characterization of cellulose bridging pattern in transformer oil using feature extraction technique |
| title_fullStr |
Characterization of cellulose bridging pattern in transformer oil using feature extraction technique |
| title_full_unstemmed |
Characterization of cellulose bridging pattern in transformer oil using feature extraction technique |
| title_sort |
characterization of cellulose bridging pattern in transformer oil using feature extraction technique |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806426543595978752 |
| score |
13.18916 |