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In order to seize the commanding height in the fourth industrial revolution, all countries are vigorously carrying out their own information-based fitness. As one of the key technologies, digital twin technology can realize the interaction between the physical world and the information world. The application of this technology to the fault prediction of armored vehicle popular star platoon can predict the vehicle operation state in real time and effectively reduce the probability of accidents, It greatly improves the safety of vehicles and is of great significance to improve combat effectiveness. This paper summarizes the development of digital twin technology in fault prediction research. Aiming at the problem that it is difficult to predict the fault in time in the actual working process of armored vehicle popular star platoon, the digital twin method is adopted, and a four layer digital twin framework is proposed, which is physical entity layer, information interaction layer, data interaction layer and human-computer interaction layer, It also expounds the specific functional requirements of each layer, and is expected to realize the timely early warning of the popular star array of armored vehicles before failure, so as to improve the service life of equipment and driving safety.