Machine state classification of electric track circuit by means of logistic regression
Electric track circuits are widely used on railways as sensors providing position of a train and information about physical integrity of rails. A modern railway monitoring system is required to have automatic data analysis capabilities. For a track circuit this functionality can be implemented a...
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| Format: | Article |
| Language: | English |
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Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2018-09-01
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| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2018/4%20(160)/67-72%20%D0%91%D0%BE%D1%80%D0%B8%D1%81%D0%B5%D0%BD%D0%BA%D0%BE%20%D0%94.%20%D0%92.,%20%D0%9F%D1%80%D0%B8%D1%81%D1%83%D1%85%D0%B8%D0%BD%D0%B0%20%D0%98.%20%D0%92.,%20%D0%9B%D1%83%D0%BD%D1%91%D0%B2%20%D0%A1.%20%D0%90..pdf |
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| _version_ | 1832572933282725888 |
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| author | D. V. Borisenko I. V. Prisukhina S. A. Lunev |
| author_facet | D. V. Borisenko I. V. Prisukhina S. A. Lunev |
| author_sort | D. V. Borisenko |
| collection | DOAJ |
| description | Electric track circuits are widely used on railways as sensors
providing position of a train and information about physical
integrity of rails. A modern railway monitoring system is required
to have automatic data analysis capabilities. For a track circuit this
functionality can be implemented as automatic state classification.
To perform this task, we developed an algorithm based on logistic
regression. In this article we describe basic principles of the
algorithm and machine learning techniques that are applied. |
| format | Article |
| id | doaj-art-300956f9760a41549d374d2381c534cc |
| institution | Kabale University |
| issn | 1813-8225 2541-7541 |
| language | English |
| publishDate | 2018-09-01 |
| publisher | Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education |
| record_format | Article |
| series | Омский научный вестник |
| spelling | doaj-art-300956f9760a41549d374d2381c534cc2025-02-02T06:00:38ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412018-09-014 (160)677210.25206/1813-8225-2018-160-67-72Machine state classification of electric track circuit by means of logistic regressionD. V. Borisenko0 I. V. Prisukhina1S. A. Lunev2Omsk State Transport UniversityOmsk State Transport UniversityOmsk State Transport UniversityElectric track circuits are widely used on railways as sensors providing position of a train and information about physical integrity of rails. A modern railway monitoring system is required to have automatic data analysis capabilities. For a track circuit this functionality can be implemented as automatic state classification. To perform this task, we developed an algorithm based on logistic regression. In this article we describe basic principles of the algorithm and machine learning techniques that are applied.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2018/4%20(160)/67-72%20%D0%91%D0%BE%D1%80%D0%B8%D1%81%D0%B5%D0%BD%D0%BA%D0%BE%20%D0%94.%20%D0%92.,%20%D0%9F%D1%80%D0%B8%D1%81%D1%83%D1%85%D0%B8%D0%BD%D0%B0%20%D0%98.%20%D0%92.,%20%D0%9B%D1%83%D0%BD%D1%91%D0%B2%20%D0%A1.%20%D0%90..pdfrailway signalingelectric track circuitmachine learningclassificationlogistic regression |
| spellingShingle | D. V. Borisenko I. V. Prisukhina S. A. Lunev Machine state classification of electric track circuit by means of logistic regression Омский научный вестник railway signaling electric track circuit machine learning classification logistic regression |
| title | Machine state classification of electric track circuit by means of logistic regression |
| title_full | Machine state classification of electric track circuit by means of logistic regression |
| title_fullStr | Machine state classification of electric track circuit by means of logistic regression |
| title_full_unstemmed | Machine state classification of electric track circuit by means of logistic regression |
| title_short | Machine state classification of electric track circuit by means of logistic regression |
| title_sort | machine state classification of electric track circuit by means of logistic regression |
| topic | railway signaling electric track circuit machine learning classification logistic regression |
| url | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2018/4%20(160)/67-72%20%D0%91%D0%BE%D1%80%D0%B8%D1%81%D0%B5%D0%BD%D0%BA%D0%BE%20%D0%94.%20%D0%92.,%20%D0%9F%D1%80%D0%B8%D1%81%D1%83%D1%85%D0%B8%D0%BD%D0%B0%20%D0%98.%20%D0%92.,%20%D0%9B%D1%83%D0%BD%D1%91%D0%B2%20%D0%A1.%20%D0%90..pdf |
| work_keys_str_mv | AT dvborisenko machinestateclassificationofelectrictrackcircuitbymeansoflogisticregression AT ivprisukhina machinestateclassificationofelectrictrackcircuitbymeansoflogisticregression AT salunev machinestateclassificationofelectrictrackcircuitbymeansoflogisticregression |