Abstract
Condition monitoring of railway vehicle dynamics whilst in operation is a necessary tool in order to detect current or predict future faults. This method of fault detection requires advanced analysis of signals from sensors attached to the key vehicles components, such as the vehicle body, bogies and the wheelsets. In this paper, a number of model based parameter and state estimation techniques are introduced and applied to fault/condition detection in the areas of low adhesion in the wheel/rail contact.
