Abstract
Modern radar equipment integration is getting higher and higher. The difficulty of maintenance support and the improvement of requirements have promoted the application of fault prediction technology. Due to the frequent failure of radar electronic components, the difficulty of maintenance and the high cost, effective tracking of their health and prediction of faults is of great significance for radar equipment maintenance. In this paper, the analytic hierarchy process (AHP) is used to analyze and evaluate the causes of radar electronic components failure, and the main influencing factors are used as health indicators. The BP neural network is used to predict the faults of the components, and the applicability is verified by the case.