Modal filtering has numerous applications in the analysis of object dynamics. One possible use of this technique, recently presented in the literature, is damage detection. The method has several advantages but one major disadvantage — it does not provide any information about damage location. This article presents a solution that eliminates this drawback. The proposed method is tested first on a numerical example. Next, it is verified on the laboratory measurement data, and finally, it is applied to a real structure — a footbridge over a street in Krakow.

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Requirements for current trains to be increasingly available have created the need to develop systems that can predict the quality of both trains and infrastructure components. The paper presents a new approach to the detection of rail truck irregularities, based on the measurements of bearing box acceleration during the operation of rail vehicles. The proposed procedure is based on an inverse problem solution, estimating track irregularities from measured acceleration of the applied model of vehicle dynamics. The simulation study of the proposed method, as well as its implementation, is presented. The method has been successfully applied for the identification of rail irregularities on a typical Polish railroad and vehicle.

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Structural Health Monitoring is becoming more and more important for today's railway. Higher requirements are set for safety and availability of both trains and tracks, that can be achieved using new type of SHM systems. Proposed SHM system is based on vibration measurements during the rail vehicle operation simultaneously with GPS position and velocity estimation. Algorithm for rail track health assessment is formulated as inverse identification problem of dynamic parameters of rail-vehicle system. Track irregularities of tracks are identified using this procedure. The case study of the SHM system operates on rail vehicle is presented in the paper.