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Rail Track Degradation and Tram Vibration Analysis Using Modal Frequency Characteristics of the Tram Rail Vibration Signal

Pushan Kumar Dutta


The article addresses the need for identification of the rail track degradation using tram vibration signal acquisition and spectral analysis. In this work we have developed a methodology to identify using signal vibration data acquired from tram signal different parameters including the modal frequency components and the different damage aspects occuring as a result of vibration from certain measuring points on the tram rails in Oradea, Romania. Different time scalar features has been derived from time and frequency domain for noise spectra data of the track vibration. Using a series of unsupervised learning algorithms for modal frequency identification, the proposed algorithm links correlation of non-linear independent signal acquired using accelerometers to model effect of vibration signal of the tram on top of the rail guard and the vibration noise separation with the rail. The proposed study enable analysis of the rail track degradation using spectral content of the most representative vibration features for degradation of the rail track due to vibration of the rails during the movement of the vehicle. In this study we found that variations in speed, loading conditions based on the weight of the tram and structural monitoring of the surface. Here, a novelty detection technique for damage detection is developed explicitly taking into account these natural variations of the tram-rail track as a dynamic system in order to minimize failure of the mantainence.


power spectral density, estimation of unevenly sampled signals,, Frequency analysis for PSD, Windowing, Tram Signal Monitoring

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