| ชื่อเรื่อง | : | Monitoring vertical acceleration of railway wagon using machine learning technique |
| นักวิจัย | : | Shafiullah, G. M. , Simson, Scott. , Thompson, Adam. , Wolfs, Peter J. , Ali, Shawkat. |
| คำค้น | : | Applied research. , 880103 Rail Passenger Movements. , 880102 Rail Infrastructure and Networks. , 090507 Transport Engineering . , Machine learning. , Railroad trains , Railroad cars , Vehicle health monitoring -- Vertical acceleration -- Machine learning -- Bogie dynamics |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2551 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/28112 , cqu:4315 |
| ที่มา | : | Shafiullah, GM Simson, S Thompson, A Wolfs, P & Ali S 2008, "Monitoring vertical acceleration of railway wagon using machine learning technique", Proceedings of the 2008 International Conference on Artificial Intelligence, ICAI 2008, including Proceedings of the 2008 International Conference on Machine Learning, Models, Technologies and Applications, 14th - 17th July, 2008, Las Vegas, Nevada, USA. |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | Proceedings of the 2008 International Conference on Artificial Intelligence (ICAI'08), July 14-17 2008, Las Vegas, Nevada, USA & Proceedings of the 2008 International Conference on Machine Learning, Models, Technologies and Applications (MLMTA'08), July 14-17 2008, Las Vegas, Nevada, USA. USA. : CSREA Press, 2008. p. 770-775 6 pages Refereed 1601320701 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | 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. |
| บรรณานุกรม | : |
Shafiullah, G. M. , Simson, Scott. , Thompson, Adam. , Wolfs, Peter J. , Ali, Shawkat. . (2551). Monitoring vertical acceleration of railway wagon using machine learning technique.
กรุงเทพมหานคร : Central Queensland University, Australia. Shafiullah, G. M. , Simson, Scott. , Thompson, Adam. , Wolfs, Peter J. , Ali, Shawkat. . 2551. "Monitoring vertical acceleration of railway wagon using machine learning technique".
กรุงเทพมหานคร : Central Queensland University, Australia. Shafiullah, G. M. , Simson, Scott. , Thompson, Adam. , Wolfs, Peter J. , Ali, Shawkat. . "Monitoring vertical acceleration of railway wagon using machine learning technique."
กรุงเทพมหานคร : Central Queensland University, Australia, 2551. Print. Shafiullah, G. M. , Simson, Scott. , Thompson, Adam. , Wolfs, Peter J. , Ali, Shawkat. . Monitoring vertical acceleration of railway wagon using machine learning technique. กรุงเทพมหานคร : Central Queensland University, Australia; 2551.
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