Abstract

Rail vehicle's suspension determines riding dynamics, safety and comfort. Its condition should be checked regularly, and even monitored continuously. In order to acquire information on suspension condition during commercial operation, the rail vehicles' monitoring system has been developed at Monitoring of Technical State of Construction and Evaluation of its Lifespan Project (MONIT). The aim of the system is qualitative assessment of suspension condition based on acceleration signals recorded on bogie frames and body.The experimental tests of the system were performed on wagons with introduced suspension damages: stiffness reduction of primary suspension in freight car and the loss of damper of secondary suspension in passenger car. The monitoring procedure and test results are presented in the work.

Highlights

  • Used monitoring systems of the rail vehicles are directly related to the control of the vehicle, e.g. power supply, power train, braking system

  • Vehicle condition is assessed on analysis of the metric between a reference point and a point representing current state

  • As the results have shown, it is necessary to take into consideration more points for the proper condition assessment

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Summary

Monitoring system

Used monitoring systems of the rail vehicles are directly related to the control of the vehicle, e.g. power supply, power train, braking system. Expedient feature of the monitoring system of rail vehicle and track is versatility and modular architecture. It can be installed virtually on every type of rail vehicle. Its aim is qualitative assessment of the primary and secondary suspension, axle bearing temperature measurement and evaluation of track quality. Acceleration signals recorded on a bogie frame above wheel sets (B1-B4) are used for primary suspension condition assessment. Regarding the system’s architecture and cost of the equipment, the number of measurement points is reduced to two. This solution is still sufficient for qualitative assessment.

Suspension condition monitoring process
Experimental tests
Results of the experiment
Conclusions
Full Text
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