Health Assessment of Aerospace Vehicle Power Distribution System Based on Virtual Simulator

With the significantly increasing growth of assessment requirements of new aerospace vehicle equipment, some problems expose when the vehicle is under designed and analyzed, such as lack of aging diagnosis of the key components, unclarity of the degeneration process, and difficulty in reliability and health assessment of vehicle. These problems lead to lack of a scientific and reliable technology to support vehicle evaluation, and decreasing the vehicle reliability. The research is carried out in this paper based on the characteristics of aerospace vehicle storage and operation, such as lack of data, and difficulty in predicting fault of key subsystems and components. Firstly, the failure modes and effects are presented by analyzing the weakness and failure rule of part of the vehicle power distribution system. At the same time, evaluation indices to reflect the characteristics of vehicle useful life and the digital simulation are put forward. The digital models of vehicle distributor are established, and based on the simulation results, the degradation process is summarized. Furthermore, the fault modes are injected to the digital model and based on the simulation data, machine learning algorithms are built to assess the reliability and predict the health of system. This project indeed is practical to space vehicles with limitations aforementioned, and provides data and technical support for exploring the aging mechanism of vehicle and assessing its reliability and health.