Track geometry estimation of a conventional railway from car-body acceleration measurement
This study proposes a track condition monitoring technique using car-body acceleration that can be easily measured by an in-service vehicle for the sake of an increase in safety of railway transportation. This paper demonstrates the possibility of estimating track irregularities of conventional rail...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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The Japan Society of Mechanical Engineers
2017-01-01
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| Series: | Mechanical Engineering Journal |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/mej/4/1/4_16-00498/_pdf/-char/en |
| _version_ | 1818827043763126272 |
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| author | Mai ODASHIMA Shohei AZAMI Yasukumi NAGANUMA Hirotaka MORI Hitoshi TSUNASHIMA |
| author_facet | Mai ODASHIMA Shohei AZAMI Yasukumi NAGANUMA Hirotaka MORI Hitoshi TSUNASHIMA |
| author_sort | Mai ODASHIMA |
| collection | DOAJ |
| description | This study proposes a track condition monitoring technique using car-body acceleration that can be easily measured by an in-service vehicle for the sake of an increase in safety of railway transportation. This paper demonstrates the possibility of estimating track irregularities of conventional railway tracks using car-body acceleration only. The methodology proposed uses inverse dynamics to estimate track irregularity from car-body acceleration, applying a Kalman filter to solve this problem. This technique estimates the track irregularity in the longitudinal plane (track geometry and 10m-chord versine). The Kalman filter is able to apply to inverse analysis by expressing track geometry as a random walk model, and incorporating the model in an equation of state. The estimation technique can support a change of the vehicle velocity by selecting an appropriate impulse response in the measurement equation for the vehicle velocity. Estimation results in simulation and full scale tests revealed that the proposed estimation technique is effective for track condition monitoring with acceptable accuracy for conventional railways. |
| first_indexed | 2024-12-19T00:37:17Z |
| format | Article |
| id | doaj.art-89fd0a9c407e42fc803979cf63bb6358 |
| institution | Directory Open Access Journal |
| issn | 2187-9745 |
| language | English |
| last_indexed | 2024-12-19T00:37:17Z |
| publishDate | 2017-01-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Mechanical Engineering Journal |
| spelling | doaj.art-89fd0a9c407e42fc803979cf63bb63582022-12-21T20:44:43ZengThe Japan Society of Mechanical EngineersMechanical Engineering Journal2187-97452017-01-014116-0049816-0049810.1299/mej.16-00498mejTrack geometry estimation of a conventional railway from car-body acceleration measurementMai ODASHIMA0Shohei AZAMI1Yasukumi NAGANUMA2Hirotaka MORI3Hitoshi TSUNASHIMA4Graduate School of Nihon UniversityGraduate School of Nihon UniversityTechnology Research and Development Department, Central Japan Railway CompanyTraffic Safety and Environment LaboratoryDepartment of Mechanical Engineering, Nihon UniversityThis study proposes a track condition monitoring technique using car-body acceleration that can be easily measured by an in-service vehicle for the sake of an increase in safety of railway transportation. This paper demonstrates the possibility of estimating track irregularities of conventional railway tracks using car-body acceleration only. The methodology proposed uses inverse dynamics to estimate track irregularity from car-body acceleration, applying a Kalman filter to solve this problem. This technique estimates the track irregularity in the longitudinal plane (track geometry and 10m-chord versine). The Kalman filter is able to apply to inverse analysis by expressing track geometry as a random walk model, and incorporating the model in an equation of state. The estimation technique can support a change of the vehicle velocity by selecting an appropriate impulse response in the measurement equation for the vehicle velocity. Estimation results in simulation and full scale tests revealed that the proposed estimation technique is effective for track condition monitoring with acceptable accuracy for conventional railways.https://www.jstage.jst.go.jp/article/mej/4/1/4_16-00498/_pdf/-char/enrailwaycondition monitoringtrack geometrykalman filterinverse analysis |
| spellingShingle | Mai ODASHIMA Shohei AZAMI Yasukumi NAGANUMA Hirotaka MORI Hitoshi TSUNASHIMA Track geometry estimation of a conventional railway from car-body acceleration measurement Mechanical Engineering Journal railway condition monitoring track geometry kalman filter inverse analysis |
| title | Track geometry estimation of a conventional railway from car-body acceleration measurement |
| title_full | Track geometry estimation of a conventional railway from car-body acceleration measurement |
| title_fullStr | Track geometry estimation of a conventional railway from car-body acceleration measurement |
| title_full_unstemmed | Track geometry estimation of a conventional railway from car-body acceleration measurement |
| title_short | Track geometry estimation of a conventional railway from car-body acceleration measurement |
| title_sort | track geometry estimation of a conventional railway from car body acceleration measurement |
| topic | railway condition monitoring track geometry kalman filter inverse analysis |
| url | https://www.jstage.jst.go.jp/article/mej/4/1/4_16-00498/_pdf/-char/en |
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