Rolling stock wheels eventually show, soon or later, geometry defects, cracks, fatigue, flaking, wear, etc. These defects induce an additional stress in both, wheels and rail tracks which in turn tend to decrease the infrastructure life time. This paper presents an on- line monitoring system installed at Estarreja (Portugal north rail track network) able to detect the approximation to the measure zone, identify the vehicle (through a RFID tag), measure the dynamic strain of the tracks, the environment temperature, the speed and direction of the wind. Based on these data, it is estimated the weight (at a stop) applied to each wheel and the asymmetry of the weight distribution. This demo will show how to access remotely to the system to get the data, and how to process/ presenting it.
