Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique
Wireless communications and modern machine learning techniques have jointly been applied in the recent development of vehicle health monitoring (VHM) systems. The performance of rail vehicles running on railway tracks is governed by the dynamic behaviors of railway bogies especially in the cases of...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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CSREA Press
2008
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/27539 |
| _version_ | 1848752291598827520 |
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| author | Shafiullah, G. Simson, S. Thompson, A. Wolfs, Peter Ali, S. |
| author2 | Hamid R Arabnia |
| author_facet | Hamid R Arabnia Shafiullah, G. Simson, S. Thompson, A. Wolfs, Peter Ali, S. |
| author_sort | Shafiullah, G. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Wireless communications and modern machine learning techniques have jointly been applied in the recent development of vehicle health monitoring (VHM) systems. The performance of rail vehicles running on railway tracks is governed by the dynamic behaviors of railway bogies especially in the cases of lateral instability and track irregularities. In this study we have proposed a system to monitor the vertical displacements of railway wagons attached to a moving locomotive. The system uses a classical linear regression machine learning technique with real wagon body acceleration data to predict vertical displacements of vehicle body motion. The system is then able to generate precautionary signals and system status which can be used by the locomotive driver for necessary actions. This VHM system provides forward-looking decisions on track maintenance that can reduce maintenance costs and inspection requirements of railway systems |
| first_indexed | 2025-11-14T08:06:17Z |
| format | Conference Paper |
| id | curtin-20.500.11937-27539 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:06:17Z |
| publishDate | 2008 |
| publisher | CSREA Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-275392022-11-21T06:47:07Z Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique Shafiullah, G. Simson, S. Thompson, A. Wolfs, Peter Ali, S. Hamid R Arabnia Youngsong Mun Vehicle health monitoring vetical acceleration machine learning bogie dynamics Wireless communications and modern machine learning techniques have jointly been applied in the recent development of vehicle health monitoring (VHM) systems. The performance of rail vehicles running on railway tracks is governed by the dynamic behaviors of railway bogies especially in the cases of lateral instability and track irregularities. In this study we have proposed a system to monitor the vertical displacements of railway wagons attached to a moving locomotive. The system uses a classical linear regression machine learning technique with real wagon body acceleration data to predict vertical displacements of vehicle body motion. The system is then able to generate precautionary signals and system status which can be used by the locomotive driver for necessary actions. This VHM system provides forward-looking decisions on track maintenance that can reduce maintenance costs and inspection requirements of railway systems 2008 Conference Paper http://hdl.handle.net/20.500.11937/27539 CSREA Press fulltext |
| spellingShingle | Vehicle health monitoring vetical acceleration machine learning bogie dynamics Shafiullah, G. Simson, S. Thompson, A. Wolfs, Peter Ali, S. Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique |
| title | Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique |
| title_full | Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique |
| title_fullStr | Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique |
| title_full_unstemmed | Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique |
| title_short | Monitoring Vertical Accelerations of Railway Wagon using Machine Leaning Technique |
| title_sort | monitoring vertical accelerations of railway wagon using machine leaning technique |
| topic | Vehicle health monitoring vetical acceleration machine learning bogie dynamics |
| url | http://hdl.handle.net/20.500.11937/27539 |