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Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network

Biomedical engineering; Computer networks; Condition monitoring; Conformal mapping; Control systems; Electric power transmission networks; Self organizing maps; Chinese Standard; Contingency analysis; Electrical systems; Integral part; Mechanical integrity; Smart grid; Smart grid networks; Unsupervi...

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Main Authors: Bohari Z.H., Jali M.H., Baharom M.F., Nasir M.N.M., Fariz N.M., Thayoob Y.H.M.
Other Authors: 56085889300
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-227182023-05-29T14:11:48Z Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network Bohari Z.H. Jali M.H. Baharom M.F. Nasir M.N.M. Fariz N.M. Thayoob Y.H.M. 56085889300 56078350800 56078250600 55658799800 57190289678 6505876050 Biomedical engineering; Computer networks; Condition monitoring; Conformal mapping; Control systems; Electric power transmission networks; Self organizing maps; Chinese Standard; Contingency analysis; Electrical systems; Integral part; Mechanical integrity; Smart grid; Smart grid networks; Unsupervised neural networks; Smart power grids This paper describes the classification of mechanical integrity of transformers using unsupervised neural networks (UNN). Transformers are the integral part of electrical system or smart grid networks since the last century. Self-Organizing Maps (SOM) is one type of UNN the widely used to do assessment on any system such as biomedical engineering, load contingency analysis and etc. The application of CIGRE standard and SOM in the research are enhancing the ability to do mechanical integrity assessment on the transformers for condition monitoring. Motivation for this research is to fill in the gap of excess FRA raw data for better assessment. This research proved that the new proposed method using SOM integrated with CIGRE standard able to do mechanical examination especially on core, winding and magnetic part of the transformer compared to current OMICRON SFRAnalyzer tool that employed Chinese Standard. � 2015 IEEE. Final 2023-05-29T06:11:48Z 2023-05-29T06:11:48Z 2016 Conference Paper 10.1109/ICCSCE.2015.7482178 2-s2.0-84978908836 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978908836&doi=10.1109%2fICCSCE.2015.7482178&partnerID=40&md5=c60e5b80c9e816bb561a56d95a6d1807 https://irepository.uniten.edu.my/handle/123456789/22718 7482178 167 171 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Biomedical engineering; Computer networks; Condition monitoring; Conformal mapping; Control systems; Electric power transmission networks; Self organizing maps; Chinese Standard; Contingency analysis; Electrical systems; Integral part; Mechanical integrity; Smart grid; Smart grid networks; Unsupervised neural networks; Smart power grids
author2 56085889300
author_facet 56085889300
Bohari Z.H.
Jali M.H.
Baharom M.F.
Nasir M.N.M.
Fariz N.M.
Thayoob Y.H.M.
format Conference Paper
author Bohari Z.H.
Jali M.H.
Baharom M.F.
Nasir M.N.M.
Fariz N.M.
Thayoob Y.H.M.
spellingShingle Bohari Z.H.
Jali M.H.
Baharom M.F.
Nasir M.N.M.
Fariz N.M.
Thayoob Y.H.M.
Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network
author_sort Bohari Z.H.
title Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network
title_short Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network
title_full Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network
title_fullStr Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network
title_full_unstemmed Transformer mechanical integrity evaluation via unsupervised neural network (UNN) in smart grid network
title_sort transformer mechanical integrity evaluation via unsupervised neural network (unn) in smart grid network
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423296673054720
score 13.211869

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