To detect suspension faults and the wheel-rail condition, a fault-detection-and-isolation system for a railway vehicle bogie - with a model-based estimation method using a Kalman-Bucy filter and isolation scheme - was developed. The advantage of this system is that many faults can be detected by using a small number of sensors. Time-history simulations were carried out to investigate the performance of the new fault-detection and isolation system. The simulation results show that faults in the suspensions and changes in the wheel-rail interface can be detected from the residual given by the Kalman-Bucy filter. They also show that each fault can be identified by the fault-isolation scheme. It is thus concluded that the model-based estimation method using a Kalman-Bucy filter and isolation scheme provides an effective basis for a fault-detection-and-isolation system for a railway vehicle bogie.
|Title of host publication
|The Dynamics of Vehicles on Roads and on Tracks Supplement to Vehicle System Dynamics
|Subtitle of host publication
|Proceedings of the 18th IAVSD Symposium Held in Kanagawa, Japan, August 24-30, 2003
|Number of pages
|Published - 10 Feb 2005
|18th IAVSD Symposium Dynamics of Vehicles on Roads and on Tracks - Kanagawa Institute of Technology, Kanagawa, Japan
Duration: 24 Aug 2003 → 30 Aug 2004
Conference number: 18
|Vehicle System Dynamics
|Taylor and Francis Ltd.
|18th IAVSD Symposium Dynamics of Vehicles on Roads and on Tracks
|24/08/03 → 30/08/04