Identification of winding faults in transformers
A transformer is one of the most important units in power network. For reliable operation of network, diagnosis of developing faults in transformer is very important. This project presents a novel and sensitive frequency response analysis (FRA) technique for identifying the winding faults in power a...
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sg-ntu-dr.10356-31362023-07-04T15:19:37Z Identification of winding faults in transformers Phyu Mar Myint. Birlasekaran, Sivaswamy School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power A transformer is one of the most important units in power network. For reliable operation of network, diagnosis of developing faults in transformer is very important. This project presents a novel and sensitive frequency response analysis (FRA) technique for identifying the winding faults in power apparatus. This technique is a suitable off-line diagnostic method for identifying electrical and mechanical faults of a transformer. The main objective of this project is to investigate the applicability of this predictive maintenance technique to identify the level of winding faults in power transformer and to characterize the transformer in a frequency plane for safe operation. Master of Science 2008-09-17T09:23:00Z 2008-09-17T09:23:00Z 2006 2006 Thesis http://hdl.handle.net/10356/3136 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electric power Phyu Mar Myint. Identification of winding faults in transformers |
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A transformer is one of the most important units in power network. For reliable operation of network, diagnosis of developing faults in transformer is very important. This project presents a novel and sensitive frequency response analysis (FRA) technique for identifying the winding faults in power apparatus. This technique is a suitable off-line diagnostic method for identifying electrical and mechanical faults of a transformer. The main objective of this project is to investigate the applicability of this predictive maintenance technique to identify the level of winding faults in power transformer and to characterize the transformer in a frequency plane for safe operation. |
author2 |
Birlasekaran, Sivaswamy |
author_facet |
Birlasekaran, Sivaswamy Phyu Mar Myint. |
format |
Theses and Dissertations |
author |
Phyu Mar Myint. |
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Phyu Mar Myint. |
title |
Identification of winding faults in transformers |
title_short |
Identification of winding faults in transformers |
title_full |
Identification of winding faults in transformers |
title_fullStr |
Identification of winding faults in transformers |
title_full_unstemmed |
Identification of winding faults in transformers |
title_sort |
identification of winding faults in transformers |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/3136 |
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1772826061730480128 |