Rail vehicle suspension is responsible for providing proper running behavior and safety. In order to keep appropriate safety level, low wear of wheels and rails, and also regular transport services, it should be monitored. The paper deals with the problem of suspension fault detection by introducing methods implemented in rail and track monitoring system developed within the framework of the project: 'MONIT-Monitoring of Technical State of Construction and Evaluation of its Lifespan'. The approach to suspension fault detection presented in the paper consists of three levels, especially the method based on the multidimensional analysis of acceleration signals statistical parameters.
The article discusses the use of pivot bearing friction liners, made of selected materials, in railway freight wagons’ spherical centre bowls. Comparative studies on the effect of suspension dynamics on the equivalent stresses in the liner material were carried out using the finite element method and multibody simulation. The results show the magnitude and location of the highest stresses in the liner with varying input loads, friction coefficients and interacting materials. The analysis is a basis for a simulation method for predicting the fatigue life of the suspension friction liner placed in the centre bowl between the bogie frame and the vehicle body.
The aim of the study was to investigate rail vehicle dynamics under
primary suspension dampers faults and explore possibility of its
detection by means of artificial neural networks. For these purposes two
types of analysis were carried out: preliminary analysis of 1 DOF rail
vehicle model and a second one - a passenger coach benchmark model
was tested in multibody simulation software - MSC.Adams with use of
VI-Rail package. Acceleration signals obtained from the latter analysis
served as an input data into the artificial neural network (ANN). ANNs
of different number of hidden layers were capable of detecting faults for
the trained suspension fault cases, however, achieved accuracy was
below 63% at the best. These results can be considered satisfactory
considering the complexity of dynamic phenomena occurring in the
vibration system of a rail vehicle.
The problem of wheel and rail wear in railway transport generates costs of reprofiling and availability of vehicles and infrastructure. One of the possibilities of wear minimizing is decreasing of the friction coefficient in wheel-rail contact by means of lubricants. Such a solution has drawbacks from which the most crucial are: decrease of tractive/braking forces and difficulties with the precise spreading of the lubricant. These disadvantages may be avoided by modern, innovative self-lubricating coatings, applied at the production stage on the wheel flanges. The aim of the study is to investigate the effect of self-lubricating coatings on a rail vehicle's dynamic behaviour, safety against derailment and predicted wheel wear. The numerical study was performed using the wagon multibody model with simulated self-lubricating coating on wheel flanges.
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