The article concerns the developed methodology for assessing the technical condition of a tramway track. Thanks to the data
collected from multiple tram journeys equipped with an on-board vibration recording system, it was possible to create profiles of
crossings through track sections in different technical condition. In order to identify the track condition, an algorithm based on the
gray-scale modeling was proposed, and a similarity comparison between the obtained track profiles. A new measure of similarity has been proposed that has not been used so far in gray-scale modeling. The obtained results confirm the applicability of the
proposed methodology
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Identification of safety hazards and operating conditions of the low-floor tram with independently rotating wheels with various drive control algorithms Robert Konowrocki, Dariusz Kalinowski, Tomasz Szolc, Artur Marczewski Eksploatacja i Niezawodnosc - Maintenance and Reliability
Monitoring of the technical condition of tracks based on machine learning Bartosz Firlik, Maciej Tabaszewski Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
Multifractal Analysis of the Common Crossing Track-Side Measurements Mykola Sysyn, Libor Izvolt, Olga Nabochenko, Vitalii Kovalchuk, Janka Sestakova, Andriy Pentsak Civil and Environmental Engineering
Turnout remaining useful life prognosis by means of on-board inertial measurements on operational trains M. Sysyn, U. Gerber, F. Kluge, O. Nabochenko, V. Kovalchuk International Journal of Rail Transportation
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