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C. Legrand^1,2, J. Beugin^1,2, B. Conrard^1,3, J. Marais^1,2, M. Berbineau^1,2 and E.-M. El-Koursi^1,2

¹Lille Nord de France University, France
²The French Institute of Science and Technology for Transport, Development and Networks, Components and Systems Department, Villeneuve d'Ascq, France
³Laboratory of Automatics, Computer Engineering and Signal Processing (LAGIS), Lille, France

Keywords: GNSS-based localisation system, dependability, multisensor system, railway safety applications.

Summary

For railway positioning solutions based on global navigation satellite systems (GNSS) such as the global positioning system (GPS) or the future Galileo system, a generic model is impossible to create as a consequence of: signal degradations in the atmosphere, the multipath effects caused by receiver near-environment, the multitude of environment configurations crossed by the train and the weak feedback of these technologies for estimated failure rates. To compensate for the weakness of GNSS, it must be hybridised with other sensors to determine a position sufficiently accurately for use in safety applications. A multitude of information sources is available about the train position. Only one position is possible. As a consequence, a fusion step is necessary to combine all these sources for the position. This raises some questions: why is the technology hybridisation appropriate for providing an accurate position? How do sensor errors influence the system output? Which sensor combination is most efficient with respect to reliability, availability, maintainability and safety analyses required for railway safety standards? This paper focuses on this last question providing an analysis of different sensor architectures in order to understand how errors (propagation of failures) of one or several sensors can affect the entire positioning system. To answer this question, a causal analysis is led based on the sensor behaviour.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 104 PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 280 Causal Analysis Methodology of Multisensor Systems based on GNSS C. Legrand^1,2, J. Beugin^1,2, B. Conrard^1,3, J. Marais^1,2, M. Berbineau^1,2 and E.-M. El-Koursi^1,2 ¹Lille Nord de France University, France ²The French Institute of Science and Technology for Transport, Development and Networks, Components and Systems Department, Villeneuve d'Ascq, France ³Laboratory of Automatics, Computer Engineering and Signal Processing (LAGIS), Lille, France doi:10.4203/ccp.104.280 purchase the full-text of this paper Full Bibliographic Reference for this paper C. Legrand, J. Beugin, B. Conrard, J. Marais, M. Berbineau, E.-M. El-Koursi, "Causal Analysis Methodology of Multisensor Systems based on GNSS", in J. Pombo, (Editor), "Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 280, 2014. doi:10.4203/ccp.104.280 Keywords: GNSS-based localisation system, dependability, multisensor system, railway safety applications. Summary For railway positioning solutions based on global navigation satellite systems (GNSS) such as the global positioning system (GPS) or the future Galileo system, a generic model is impossible to create as a consequence of: signal degradations in the atmosphere, the multipath effects caused by receiver near-environment, the multitude of environment configurations crossed by the train and the weak feedback of these technologies for estimated failure rates. To compensate for the weakness of GNSS, it must be hybridised with other sensors to determine a position sufficiently accurately for use in safety applications. A multitude of information sources is available about the train position. Only one position is possible. As a consequence, a fusion step is necessary to combine all these sources for the position. This raises some questions: why is the technology hybridisation appropriate for providing an accurate position? How do sensor errors influence the system output? Which sensor combination is most efficient with respect to reliability, availability, maintainability and safety analyses required for railway safety standards? This paper focuses on this last question providing an analysis of different sensor architectures in order to understand how errors (propagation of failures) of one or several sensors can affect the entire positioning system. To answer this question, a causal analysis is led based on the sensor behaviour. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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