A PHM architecture of maglev train based on the distributed hierarchical structure

In order to improve maintenance efficiency, reduce maintenance costs, reduce the workload of maintenance personnel, and avoid huge economic losses and catastrophic accidents, this paper designs a prognostic and health management (PHM) architecture of maglev train based on distributed hierarchical structure. First, the system is used as a unit to establish a distributed structure, and the hierarchy is divided according to the structure of "train-vehicle-system-subsystem". Then, the data of the maglev train is divided by the hierarchical structure, and the subsystem fault detection model and health assessment model are established, and the system fault diagnosis model and fault prediction model are further established. Based on the fault diagnosis or fault prediction results, the optimal maintenance decision is provided. Finally, a PHM architecture of maglev train based on a distributed and hierarchical structure is proposed.