A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique
This paper presents an automatic method for detecting vertical track irregularities on tramway operation using acceleration measurements on trams. For monitoring of tramway tracks, an unconventional measurement setup is developed, which records the data of 3-axes wireless accelerometers mounted on w...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2018-03-01
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| Series: | Selected Scientific Papers: Journal of Civil Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/sspjce-2018-0013 |
| _version_ | 1818738373607555072 |
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| author | Bocz Péter Vinkó Ákos Posgay Zoltán |
| author_facet | Bocz Péter Vinkó Ákos Posgay Zoltán |
| author_sort | Bocz Péter |
| collection | DOAJ |
| description | This paper presents an automatic method for detecting vertical track irregularities on tramway operation using acceleration measurements on trams. For monitoring of tramway tracks, an unconventional measurement setup is developed, which records the data of 3-axes wireless accelerometers mounted on wheel discs. Accelerations are processed to obtain the vertical track irregularities to determine whether the track needs to be repaired. The automatic detection algorithm is based on time–frequency distribution analysis and determines the defect locations. Admissible limits (thresholds) are given for detecting moderate and severe defects using statistical analysis. The method was validated on frequented tram lines in Budapest and accurately detected severe defects with a hit rate of 100%, with no false alarms. The methodology is also sensitive to moderate and small rail surface defects at the low operational speed. |
| first_indexed | 2024-12-18T01:07:55Z |
| format | Article |
| id | doaj.art-0d8d69e9d06641a98e937cfccf6598c0 |
| institution | Directory Open Access Journal |
| issn | 1338-7278 |
| language | English |
| last_indexed | 2024-12-18T01:07:55Z |
| publishDate | 2018-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Selected Scientific Papers: Journal of Civil Engineering |
| spelling | doaj.art-0d8d69e9d06641a98e937cfccf6598c02022-12-21T21:26:11ZengSciendoSelected Scientific Papers: Journal of Civil Engineering1338-72782018-03-0113s113514610.1515/sspjce-2018-0013sspjce-2018-0013A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing techniqueBocz Péter0Vinkó Ákos1Posgay Zoltán2Faculty of Civil Engineering, Department of Highway and Railway Engineering, Budapest University of Technology and Economics, HungaryFaculty of Civil Engineering, Department of Highway and Railway Engineering, Budapest University of Technology and Economics, HungaryMetalelektro Measuring Technique Ltd., Budapest University of Technology and Economics, HungaryThis paper presents an automatic method for detecting vertical track irregularities on tramway operation using acceleration measurements on trams. For monitoring of tramway tracks, an unconventional measurement setup is developed, which records the data of 3-axes wireless accelerometers mounted on wheel discs. Accelerations are processed to obtain the vertical track irregularities to determine whether the track needs to be repaired. The automatic detection algorithm is based on time–frequency distribution analysis and determines the defect locations. Admissible limits (thresholds) are given for detecting moderate and severe defects using statistical analysis. The method was validated on frequented tram lines in Budapest and accurately detected severe defects with a hit rate of 100%, with no false alarms. The methodology is also sensitive to moderate and small rail surface defects at the low operational speed.https://doi.org/10.1515/sspjce-2018-0013tramway track condition monitoringtime-frequency signal processingvibrationwheel-rail interactionwavelet transform |
| spellingShingle | Bocz Péter Vinkó Ákos Posgay Zoltán A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique Selected Scientific Papers: Journal of Civil Engineering tramway track condition monitoring time-frequency signal processing vibration wheel-rail interaction wavelet transform |
| title | A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique |
| title_full | A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique |
| title_fullStr | A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique |
| title_full_unstemmed | A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique |
| title_short | A practical approach to tramway track condition monitoring: vertical track defects detection and identification using time-frequency processing technique |
| title_sort | practical approach to tramway track condition monitoring vertical track defects detection and identification using time frequency processing technique |
| topic | tramway track condition monitoring time-frequency signal processing vibration wheel-rail interaction wavelet transform |
| url | https://doi.org/10.1515/sspjce-2018-0013 |
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