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.
Fault-detection-and-isolation system for a railway vehicle bogie
2004
9 Seiten, 4 Quellen
Conference paper
English
Fault-detection-and-isolation system for a railway vehicle bogie
British Library Conference Proceedings | 2004
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