The Laboratory of Cyber Physical Systems is working with colleagues from the Railway Research Institute of JSC Russian Railways to develop a prescriptive analytics system for the «Lastochka» electric train based on digital twins

"Digital twins" are computer models synchronised with real operating data of mechanical, hydraulic, pneumatic, electrical and other systems of the electric train. Based on the results of the digital twins and fault prediction algorithms, the prescriptive analytics system performs its main task of predicting the occurrence of emergencies, helping the operator to make decisions about the further operation of the electric train. In order to improve the accuracy of the system, around 1600 parameters are analysed in real time by using machine learning tools.