Power transformer winding fault analysis using transfer function
Condition monitoring of power transformers is essential to maintain the reliability of electricity grid. Frequency response analysis (FRA) is a useful tool for the detection of incipient mechanical faults within power transformers. There are various methods of evaluating the frequency spectrum for f...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
AUPEC
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/8579 |
| _version_ | 1848745699746775040 |
|---|---|
| author | Kalpana, Patel Das, Narottam Abu Siada, Ahmed Islam, Syed |
| author2 | Michael Negnevitsky |
| author_facet | Michael Negnevitsky Kalpana, Patel Das, Narottam Abu Siada, Ahmed Islam, Syed |
| author_sort | Kalpana, Patel |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Condition monitoring of power transformers is essential to maintain the reliability of electricity grid. Frequency response analysis (FRA) is a useful tool for the detection of incipient mechanical faults within power transformers. There are various methods of evaluating the frequency spectrum for fault classification and quantification. This paper presents a useful method to detect and to identify various winding faults of a power transformer based on its FRA signature. Simulation results show that location of resonance frequencies which are the key parameters in identifying various winding deformations are uniquely altered due to different faults. |
| first_indexed | 2025-11-14T06:21:31Z |
| format | Conference Paper |
| id | curtin-20.500.11937-8579 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:21:31Z |
| publishDate | 2013 |
| publisher | AUPEC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-85792017-01-30T11:07:35Z Power transformer winding fault analysis using transfer function Kalpana, Patel Das, Narottam Abu Siada, Ahmed Islam, Syed Michael Negnevitsky Condition monitoring of power transformers is essential to maintain the reliability of electricity grid. Frequency response analysis (FRA) is a useful tool for the detection of incipient mechanical faults within power transformers. There are various methods of evaluating the frequency spectrum for fault classification and quantification. This paper presents a useful method to detect and to identify various winding faults of a power transformer based on its FRA signature. Simulation results show that location of resonance frequencies which are the key parameters in identifying various winding deformations are uniquely altered due to different faults. 2013 Conference Paper http://hdl.handle.net/20.500.11937/8579 AUPEC fulltext |
| spellingShingle | Kalpana, Patel Das, Narottam Abu Siada, Ahmed Islam, Syed Power transformer winding fault analysis using transfer function |
| title | Power transformer winding fault analysis using transfer function |
| title_full | Power transformer winding fault analysis using transfer function |
| title_fullStr | Power transformer winding fault analysis using transfer function |
| title_full_unstemmed | Power transformer winding fault analysis using transfer function |
| title_short | Power transformer winding fault analysis using transfer function |
| title_sort | power transformer winding fault analysis using transfer function |
| url | http://hdl.handle.net/20.500.11937/8579 |