Minimum detection of power transformer short circuit fault using frequency response analysis
The majority of mechanical deformation within power transformers is due to short circuit faults. Although, frequency response analysis (FRA) has been recently recognized as the most reliable detection tool for mechanical deformation in transformers, in the event of minor fault, the current FRA inter...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/50639 |
| _version_ | 1848758510354956288 |
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| author | Aljohani, O. Abu-Siada, Ahmed |
| author_facet | Aljohani, O. Abu-Siada, Ahmed |
| author_sort | Aljohani, O. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The majority of mechanical deformation within power transformers is due to short circuit faults. Although, frequency response analysis (FRA) has been recently recognized as the most reliable detection tool for mechanical deformation in transformers, in the event of minor fault, the current FRA interpretation approach may not able to detect any variations between healthy and faulty FRA signatures. This paper is aimed at identifying the minimum level of short circuit fault within power transformer that can be detected using FRA technique. In this regard, the physical geometrical dimension of a three-phase transformer has been simulated using three-dimensional finite element analysis to emulate the physical operating conditions of power transformers. Short-circuit faults within transformer winding are simulated at several fault levels and the FRA signature for each case study is obtained and compared with the healthy signature. Results show that there is a minimum detection level of short circuit faults that can be detected using FRA technique. |
| first_indexed | 2025-11-14T09:45:08Z |
| format | Conference Paper |
| id | curtin-20.500.11937-50639 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:45:08Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-506392017-09-13T15:37:43Z Minimum detection of power transformer short circuit fault using frequency response analysis Aljohani, O. Abu-Siada, Ahmed The majority of mechanical deformation within power transformers is due to short circuit faults. Although, frequency response analysis (FRA) has been recently recognized as the most reliable detection tool for mechanical deformation in transformers, in the event of minor fault, the current FRA interpretation approach may not able to detect any variations between healthy and faulty FRA signatures. This paper is aimed at identifying the minimum level of short circuit fault within power transformer that can be detected using FRA technique. In this regard, the physical geometrical dimension of a three-phase transformer has been simulated using three-dimensional finite element analysis to emulate the physical operating conditions of power transformers. Short-circuit faults within transformer winding are simulated at several fault levels and the FRA signature for each case study is obtained and compared with the healthy signature. Results show that there is a minimum detection level of short circuit faults that can be detected using FRA technique. 2015 Conference Paper http://hdl.handle.net/20.500.11937/50639 10.1109/AUPEC.2015.7324789 restricted |
| spellingShingle | Aljohani, O. Abu-Siada, Ahmed Minimum detection of power transformer short circuit fault using frequency response analysis |
| title | Minimum detection of power transformer short circuit fault using frequency response analysis |
| title_full | Minimum detection of power transformer short circuit fault using frequency response analysis |
| title_fullStr | Minimum detection of power transformer short circuit fault using frequency response analysis |
| title_full_unstemmed | Minimum detection of power transformer short circuit fault using frequency response analysis |
| title_short | Minimum detection of power transformer short circuit fault using frequency response analysis |
| title_sort | minimum detection of power transformer short circuit fault using frequency response analysis |
| url | http://hdl.handle.net/20.500.11937/50639 |