Defective assets on the rail track represent a significant cause of hold ups on most rail and tram networks, causing one third of the delays and sometimes trams’ suspensions, thus impacting citizens’ expectations and the normal operation of cities. Therefore, the early detection of symptoms associated with possible rail track wear is fundamental in order to resolve such problems as soon as possible, and even completely prevent them if possible.
The predictive maintenance application monitors the rail track status and profile, enabling the identification of changes in equipment behavior that foreshadow failures. The application also provides recommendations, enabling maintenance teams to carry out remedial work before the asset starts to fail and allowing for proper planning for restoring the rails to the best environmental conditions for any weld overlays. Finally, the power consumption profile of the trams also is monitored, in order to potentially minimize consumption and have an environmentally positive impact.