In this paper, a proposal for the treatment of driving dynamic datasets of a railway vehicle is outlined which is aimed at the development of a track condition monitoring system that can be implemented on board of trains being operated in standard revenue service. Compared to monitoring systems installed in special diagnostic trains this concept enables a reduction in the number of sensors used, to meet stringent constraint in terms of space available for the transducers, wirings and power supply. To this aim, use is made of a Kalman-filter state estimator replacing the direct measure of vehicle dynamics at some meaningful locations in the vehicle. A performance index is defined to summarize the performance of the diagnostic unit. The proposed approach is validated using multi-body simulation.

Treatment of driving dynamic datasets of a railway vehicle aimed at condition monitoring of the track

LEONARDI, FRANCESCO;ALFI, STEFANO;BRUNI, STEFANO
2014-01-01

Abstract

In this paper, a proposal for the treatment of driving dynamic datasets of a railway vehicle is outlined which is aimed at the development of a track condition monitoring system that can be implemented on board of trains being operated in standard revenue service. Compared to monitoring systems installed in special diagnostic trains this concept enables a reduction in the number of sensors used, to meet stringent constraint in terms of space available for the transducers, wirings and power supply. To this aim, use is made of a Kalman-filter state estimator replacing the direct measure of vehicle dynamics at some meaningful locations in the vehicle. A performance index is defined to summarize the performance of the diagnostic unit. The proposed approach is validated using multi-body simulation.
2014
Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies
9789633131862
9789633131862
Kalman-filter; Monitoring of the track; Rail vehicle dynamics; Mechanical Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/998302
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