The Application of Digital-Twin in Bogie Fault Monitoring and Early Warning

Abstract

Aiming at the electrochemical corrosion problem of bogie, this paper applies the digital twin technology that is rapidly developing and widely used, proposes to build a digital twin model, and establishes a fault monitoring and early warning system based on this. After clarifying the exact functions of the system, the difficulty of model construction and data processing is reduced through deep transfer learning and algorithms. After the digital twin model is built, various test is done to verify its function. Finally, the comparison between the measured data and the twin data verifies that the model is highly correlated with reality, and the fault monitoring and early warning function works normally.