Bogie Fault Detections by Way of Condition-Based Monitoring of a Railway Vehicle

In the modern railway industry, huge amount of money is invested for the maintenance of the railway system on yearly basis, in which failures or faults in components and systems have always been a major problem. An effective, efficient and reliable maintenance is required to ensure the efficiency, reliability and safety for the railway vehicles and give a high-quality service to the passengers. This paper presents bogie fault detection by way of the condition monitoring of the bogie in a railway vehicle, which addresses the logics for the model-based condition monitoring of suspension system using an extended Kalman filter. The presented logic has been demonstrated by simulation studies.