URITMIS project

The URITMIS (Urban Railway Infrastructure Maintenance System) project involves the development of an innovative system for predictive maintenance of tram infrastructure based on the recording of vibroacoustic track properties and machine learning methods. As a part of the project, a research team of young scientists gathered around the described topic will be formed. Project objectives: - Record vibration signals using in-service monitoring during the whole running of project - Use manual inspection techniques to define certain faults on track (corrugation, welds, S&C faults,..) - Examine the connection between irregularities and/or damage on the track with the characteristics of the recorded vibration - Detect a repeating pattern of the frequency response of individual irregularities and/or damage in the frequency spectrogram (using machine learning techniques) - Create numerical models of the tram track with defined vibro-acoustic parameters (transfer functions of wheels, track, rail contact surface) - Use machine learning methods to create a predictive track maintenance model There are two main project goals: 1) Develop a strong interdisciplinary research group at the Faculty of Civil Engineering with competences in various research areas such as vibro-acoustic analysis of the track, monitoring of tramway track properties, numerical modelling, machine learning and predictive maintenance modeling. 2) Develop the URITMIS system - an innovative system for predictive maintenance of tram infrastructure Project is financed through National Recovery and Resilience Plan 2021-2026 (NPOO) of Republic of Croatia (NPOO.C3.2.R2-I1.06) - Development and research grants.