Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey
It has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8740987/ |
| _version_ | 1818855294673879040 |
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| author | Adnan Secic Matej Krpan Igor Kuzle |
| author_facet | Adnan Secic Matej Krpan Igor Kuzle |
| author_sort | Adnan Secic |
| collection | DOAJ |
| description | It has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. Then, we review and categorize works related to the acoustic condition assessment of power transformers considering both: feature extraction in the time, frequency, time-frequency domain, and mathematical modeling and system identification of dynamic systems. |
| first_indexed | 2024-12-19T08:06:19Z |
| format | Article |
| id | doaj.art-16b436a2941140bc9fae90d13b8f015d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T08:06:19Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-16b436a2941140bc9fae90d13b8f015d2022-12-21T20:29:44ZengIEEEIEEE Access2169-35362019-01-017839158393110.1109/ACCESS.2019.29238098740987Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A SurveyAdnan Secic0Matej Krpan1https://orcid.org/0000-0001-8187-7581Igor Kuzle2DV Power, Lidingö, SwedenDepartment of Energy and Power Systems, Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, CroatiaDepartment of Energy and Power Systems, Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, CroatiaIt has been over two decades since the publication of pioneer works about the power transformer diagnostics based on monitoring of their acoustic fingerprints. Since then, there has been great progress in this field and the methods used are as complex as ever. Any unnecessary intervention on a power transformer implies its temporary disconnection from the power grid. The inability to supply electricity to the customer means not only financial loss for the utility but also generates a non-material loss, e.g., the loss of reputation to the customer. Faster, more accurate, more reliable, and less invasive diagnosis is the main reason behind development and improvement in this field. The main goal of this paper is to categorize and review state-of-the art of vibro-acoustic diagnostic methods for power transformers. This paper opens with a brief note about continuous condition monitoring, after which we overview the causes of transformer vibrations as well as the collection and preprocessing of diagnostic data. Then, we review and categorize works related to the acoustic condition assessment of power transformers considering both: feature extraction in the time, frequency, time-frequency domain, and mathematical modeling and system identification of dynamic systems.https://ieeexplore.ieee.org/document/8740987/Power transformerspower system faultspower system reliabilityfault diagnosismaintenanceacoustic emission |
| spellingShingle | Adnan Secic Matej Krpan Igor Kuzle Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey IEEE Access Power transformers power system faults power system reliability fault diagnosis maintenance acoustic emission |
| title | Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey |
| title_full | Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey |
| title_fullStr | Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey |
| title_full_unstemmed | Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey |
| title_short | Vibro-Acoustic Methods in the Condition Assessment of Power Transformers: A Survey |
| title_sort | vibro acoustic methods in the condition assessment of power transformers a survey |
| topic | Power transformers power system faults power system reliability fault diagnosis maintenance acoustic emission |
| url | https://ieeexplore.ieee.org/document/8740987/ |
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