This work proposes a fault diagnosis and identification system for the bogie components of high-speed trains as a condition base maintenance solution. The main focus is on some suspension components affecting the lateral dynamics of the bogie, namely yaw dampers and lateral dampers. A linearized model of the bogie including the essential features required to capture the dynamics of the system in the horizontal plane is developed and verified against a non-linear one. Then, an Extended Kalman Filter is tuned and modified to estimate the true state of damping components and hence perform fault detection. Finally, the performance of the proposed fault diagnosis procedure is assessed by means of numerical experiments.
Fault Diagnosis of Bogie Components for High Speed Trains
RAMIN, DANIAL;ALFI, STEFANO;BRUNI, STEFANO
2010-01-01
Abstract
This work proposes a fault diagnosis and identification system for the bogie components of high-speed trains as a condition base maintenance solution. The main focus is on some suspension components affecting the lateral dynamics of the bogie, namely yaw dampers and lateral dampers. A linearized model of the bogie including the essential features required to capture the dynamics of the system in the horizontal plane is developed and verified against a non-linear one. Then, an Extended Kalman Filter is tuned and modified to estimate the true state of damping components and hence perform fault detection. Finally, the performance of the proposed fault diagnosis procedure is assessed by means of numerical experiments.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
