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Rail irregularities identification with use of inverted parametric models

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Abstract: The paper presents an application of the loading force identification method based on inversion of regressive parametric models to the reconstruction of rail irregularities. The irregularities are identified from the accelerations of vibrations signals measured on the axel boxes of the car during its ride. In the article both numerical and experimental verification of the method are shown.
Rail irregularities are generated by series of factors caused by both operation and ordinary rail degradation. Initiation and growth of rail irregularities has many negative consequences. First of all, high level of rail irregularities threatens the safety of the rail traffic, throughout increase of a derailment probability, increase of impact forces level and decrease of durability of all the components of the track-vehicle system. Second of all it decreases ride comfort and increases a negative influence on the environment. It happens because rail irregularities generate vibrations, perceived by passengers of the rail vehicles, and noise emitted to the environment. Due to the reasons there is a necessity of monitoring of the rail irregularities development. Such a monitoring is presently carried out, but applied techniques are very costly, and it further results in low frequency of performed measurements. Another factor that limits the frequency of rail irregularities measurements, is necessity of traffic exclusion on the tested route, what, for the tracks with heavy traffic, could be difficult.
In view of the importance of the issue and the difficulty of its solution, authors propose to identify the rail irregularities as a kinematic excitation on the basis of the system response measured on the unsprung elements of the rail vehicles (e.g. axle boxes). Such a response in form of vibrations accelerations are easy for measurement, do not require a special vehicles and the measuring equipment is not very expensive. One can imagine that the measuring system for the vibrations accelerations measurements could be installed in
selected trains, and data from that system would be used for rail irregularities identification. As it was stated such a solution is much chipper and less difficult from the organization perspective (no necessity of traffic exclusion on the tested route). Because of these advantages rail monitoring could be performed much more often. (...)

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Źródło: Czasopismo Logistyka

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