Condition monitoring of train wheels using a cost-effective smart rail pad

Abstract

This present paper focuses on the condition monitoring of train wheels utilizing an 3D printed rail pad that is embedded with widely available accelerometers and a strain gauge. This smart rail pad was used on a heavy haul railway line to monitor train wheels by identifying any wheel defects and measuring the respective wheel loads. A series of laboratory material tests were conducted on various 3D printing materials to identify the most suitable material for the smart rail pad. Dynamic and static loading tests were carried out to determine whether the 3D printed rail pads could withstand the typical forces exerted by a passing train. Field tests were done to determine the performance of the smart rail pads in operational conditions. Results indicated that the smart rail pads were able to identify 60 % of the wheel flats and were able to measure the wheel loads with an average percent error of 6 % by comparing it to the control measurements. In summary, the smart rail pads presented a good correlation between the measured wheel loads and the true values, while the identification of wheel flats was influenced by the low sampling rate of the system.