Features of spectral vibration diagnostics of traction power transformers in high-speed motion
This paper uses spectral analysis methods to develop a mathematical model and algorithms for evaluating the diagnosed signals corresponding to certain defects of windings and magnetic circuits of traction power transformers. A distinctive feature of the study is at certain frequencies of spectral de...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/38/e3sconf_conmechydro23_04002.pdf |
| _version_ | 1797775901503520768 |
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| author | Amirov Sulton Yakubov Mirjalil Jurayeva Kamila Saydivaliyev Saidaziz |
| author_facet | Amirov Sulton Yakubov Mirjalil Jurayeva Kamila Saydivaliyev Saidaziz |
| author_sort | Amirov Sulton |
| collection | DOAJ |
| description | This paper uses spectral analysis methods to develop a mathematical model and algorithms for evaluating the diagnosed signals corresponding to certain defects of windings and magnetic circuits of traction power transformers. A distinctive feature of the study is at certain frequencies of spectral dependences, taking into account the effects associated with defect formation that have a different cause of their manifestation, for example, wide-field fluctuations and changes in the shape and width of spectral peaks. The presence of random fluctuations caused the application of the normal Gaussian distribution law of the measured values of the spectra. To solve the problem of identifying the diagnosed spectra corresponding to certain defects of the power transformer, algorithms for identifying the vector of diagnostic features based on the method of statistical recognition theory for large amounts of information are proposed. |
| first_indexed | 2024-03-12T22:42:17Z |
| format | Article |
| id | doaj.art-6ed9d7b305a64ad8997475de3fa3ccbe |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T22:42:17Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-6ed9d7b305a64ad8997475de3fa3ccbe2023-07-21T09:33:57ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014010400210.1051/e3sconf/202340104002e3sconf_conmechydro23_04002Features of spectral vibration diagnostics of traction power transformers in high-speed motionAmirov Sulton0Yakubov Mirjalil1Jurayeva Kamila2Saydivaliyev Saidaziz3Tashkent State Transport UniversityTashkent State Transport UniversityTashkent State Transport UniversityTashkent State Transport UniversityThis paper uses spectral analysis methods to develop a mathematical model and algorithms for evaluating the diagnosed signals corresponding to certain defects of windings and magnetic circuits of traction power transformers. A distinctive feature of the study is at certain frequencies of spectral dependences, taking into account the effects associated with defect formation that have a different cause of their manifestation, for example, wide-field fluctuations and changes in the shape and width of spectral peaks. The presence of random fluctuations caused the application of the normal Gaussian distribution law of the measured values of the spectra. To solve the problem of identifying the diagnosed spectra corresponding to certain defects of the power transformer, algorithms for identifying the vector of diagnostic features based on the method of statistical recognition theory for large amounts of information are proposed.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/38/e3sconf_conmechydro23_04002.pdf |
| spellingShingle | Amirov Sulton Yakubov Mirjalil Jurayeva Kamila Saydivaliyev Saidaziz Features of spectral vibration diagnostics of traction power transformers in high-speed motion E3S Web of Conferences |
| title | Features of spectral vibration diagnostics of traction power transformers in high-speed motion |
| title_full | Features of spectral vibration diagnostics of traction power transformers in high-speed motion |
| title_fullStr | Features of spectral vibration diagnostics of traction power transformers in high-speed motion |
| title_full_unstemmed | Features of spectral vibration diagnostics of traction power transformers in high-speed motion |
| title_short | Features of spectral vibration diagnostics of traction power transformers in high-speed motion |
| title_sort | features of spectral vibration diagnostics of traction power transformers in high speed motion |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/38/e3sconf_conmechydro23_04002.pdf |
| work_keys_str_mv | AT amirovsulton featuresofspectralvibrationdiagnosticsoftractionpowertransformersinhighspeedmotion AT yakubovmirjalil featuresofspectralvibrationdiagnosticsoftractionpowertransformersinhighspeedmotion AT jurayevakamila featuresofspectralvibrationdiagnosticsoftractionpowertransformersinhighspeedmotion AT saydivaliyevsaidaziz featuresofspectralvibrationdiagnosticsoftractionpowertransformersinhighspeedmotion |