Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria
Abstract This paper proposes a method for recognising the fault type using a set of diagnostic criteria. Existing approaches to the interpretation of dissolved gas analysis (DGA) results usually rely on single diagnostic criteria. The proposed method solves the problems of incomplete use of diagnost...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-12-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.13068 |
| _version_ | 1827577815446323200 |
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| author | Oleg Shutenko Oleksii Kulyk |
| author_facet | Oleg Shutenko Oleksii Kulyk |
| author_sort | Oleg Shutenko |
| collection | DOAJ |
| description | Abstract This paper proposes a method for recognising the fault type using a set of diagnostic criteria. Existing approaches to the interpretation of dissolved gas analysis (DGA) results usually rely on single diagnostic criteria. The proposed method solves the problems of incomplete use of diagnostic information and discrepancies in the norms and criteria for recognising the same fault inherent in the existing methods. The feature of the method is the analysis of the compliance of the DGA results of the diagnosed equipment with the ones of the equipment with a confirmed diagnosis from the fault database. This approach outperforms the existing methods in the number of faults recognised, allowing a wider range of faults to be detected, including combined faults. In addition, the method provides an opportunity to identify possible causes and localise the fault. This feature is unique and provides a significant advantage when interpreting DGA results. The proposed method demonstrates significantly higher accuracy (100%) in recognising various fault types, including combined faults, in comparison to existing methods (about 50%). The proposed method has a 60% success rate in determining the cause and location of a fault, but this figure depends on the database with faults of various types used. |
| first_indexed | 2024-03-08T21:33:13Z |
| format | Article |
| id | doaj.art-74c2533381eb45eb8aba5d4620b31540 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-03-08T21:33:13Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-74c2533381eb45eb8aba5d4620b315402023-12-21T04:27:04ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952023-12-0117245511552310.1049/gtd2.13068Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteriaOleg Shutenko0Oleksii Kulyk1Department of Electric Power Transmission National Technical University “Kharkiv Polytechnic Institute” Kharkiv UkraineDepartment of Electric Power Transmission National Technical University “Kharkiv Polytechnic Institute” Kharkiv UkraineAbstract This paper proposes a method for recognising the fault type using a set of diagnostic criteria. Existing approaches to the interpretation of dissolved gas analysis (DGA) results usually rely on single diagnostic criteria. The proposed method solves the problems of incomplete use of diagnostic information and discrepancies in the norms and criteria for recognising the same fault inherent in the existing methods. The feature of the method is the analysis of the compliance of the DGA results of the diagnosed equipment with the ones of the equipment with a confirmed diagnosis from the fault database. This approach outperforms the existing methods in the number of faults recognised, allowing a wider range of faults to be detected, including combined faults. In addition, the method provides an opportunity to identify possible causes and localise the fault. This feature is unique and provides a significant advantage when interpreting DGA results. The proposed method demonstrates significantly higher accuracy (100%) in recognising various fault types, including combined faults, in comparison to existing methods (about 50%). The proposed method has a 60% success rate in determining the cause and location of a fault, but this figure depends on the database with faults of various types used.https://doi.org/10.1049/gtd2.13068discharges (electric)fault diagnosisheatingpartial dischargessparkssurface discharges |
| spellingShingle | Oleg Shutenko Oleksii Kulyk Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria IET Generation, Transmission & Distribution discharges (electric) fault diagnosis heating partial discharges sparks surface discharges |
| title | Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria |
| title_full | Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria |
| title_fullStr | Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria |
| title_full_unstemmed | Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria |
| title_short | Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria |
| title_sort | method of fault type recognition based on the dissolved gas analysis using a set of diagnostic criteria |
| topic | discharges (electric) fault diagnosis heating partial discharges sparks surface discharges |
| url | https://doi.org/10.1049/gtd2.13068 |
| work_keys_str_mv | AT olegshutenko methodoffaulttyperecognitionbasedonthedissolvedgasanalysisusingasetofdiagnosticcriteria AT oleksiikulyk methodoffaulttyperecognitionbasedonthedissolvedgasanalysisusingasetofdiagnosticcriteria |