Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers
Frequency response analysis (FRA) is a method of monitoring a power transformer’s mechanical integrity. However, identifying the type of fault and its severity by comparing measured responses is still challenging and mostly relies on personnel expertise. This paper is taking one step forward to stan...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
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MDPI AG
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/84206 |
| _version_ | 1848764622995193856 |
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| author | Al-Ameri, Salem Mgammal Kamarudin, Muhammad Saufi Yousof, Mohd Fairouz Mohd Salem, Ali A Abu-Siada, Ahmed Mosaad, Mohamed I |
| author_facet | Al-Ameri, Salem Mgammal Kamarudin, Muhammad Saufi Yousof, Mohd Fairouz Mohd Salem, Ali A Abu-Siada, Ahmed Mosaad, Mohamed I |
| author_sort | Al-Ameri, Salem Mgammal |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Frequency response analysis (FRA) is a method of monitoring a power transformer’s mechanical integrity. However, identifying the type of fault and its severity by comparing measured responses is still challenging and mostly relies on personnel expertise. This paper is taking one step forward to standardize the FRA interpretation process by proposing guidelines based on various international standards and FRA case studies. In this study, the FRA signature is divided into three regions: low-, mid- and high-frequency regions. The deviation from the fingerprint signature for various faults is classified into small, large, and no variations, based on the calculation of the correlation coefficient. The proposed guidelines are developed based on the frequency regions, and the level of variation is represented using a simple arrow method to simplify the interpretation process. A case study is conducted on a three-phase 11/0.433 kV, 500 kVA distribution transformer with a short circuit winding fault to validate the proposed guidelines. |
| first_indexed | 2025-11-14T11:22:17Z |
| format | Journal Article |
| id | curtin-20.500.11937-84206 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:22:17Z |
| publishDate | 2021 |
| publisher | MDPI AG |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-842062021-06-29T00:32:47Z Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers Al-Ameri, Salem Mgammal Kamarudin, Muhammad Saufi Yousof, Mohd Fairouz Mohd Salem, Ali A Abu-Siada, Ahmed Mosaad, Mohamed I Frequency response analysis (FRA) is a method of monitoring a power transformer’s mechanical integrity. However, identifying the type of fault and its severity by comparing measured responses is still challenging and mostly relies on personnel expertise. This paper is taking one step forward to standardize the FRA interpretation process by proposing guidelines based on various international standards and FRA case studies. In this study, the FRA signature is divided into three regions: low-, mid- and high-frequency regions. The deviation from the fingerprint signature for various faults is classified into small, large, and no variations, based on the calculation of the correlation coefficient. The proposed guidelines are developed based on the frequency regions, and the level of variation is represented using a simple arrow method to simplify the interpretation process. A case study is conducted on a three-phase 11/0.433 kV, 500 kVA distribution transformer with a short circuit winding fault to validate the proposed guidelines. 2021 Journal Article http://hdl.handle.net/20.500.11937/84206 10.3390/app11072923 http://creativecommons.org/licenses/by/4.0/ MDPI AG fulltext |
| spellingShingle | Al-Ameri, Salem Mgammal Kamarudin, Muhammad Saufi Yousof, Mohd Fairouz Mohd Salem, Ali A Abu-Siada, Ahmed Mosaad, Mohamed I Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers |
| title | Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers |
| title_full | Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers |
| title_fullStr | Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers |
| title_full_unstemmed | Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers |
| title_short | Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers |
| title_sort | interpretation of frequency response analysis for fault detection in power transformers |
| url | http://hdl.handle.net/20.500.11937/84206 |