The health management system is an important support resource for radar, and the rapid assessment of the radar health status is an important part of the health management system. Radar is a complex electronic information system. It consists of a large number of equipment. In the past, the health of radar was calculated by the way that people assign weights. The accuracy of the method is low, and it is difficult to update. This paper proposes a radar health assessment model based on logistic regression, which can be used trained by practice data samples. The accuracy of the model in test samples can reach 83.23%. The model’s average training time is 126ms, which means on-line training and update can be implemented. Through the expert online feedback mechanism, the accuracy of the model in test samples can be promoted to 85.37%. In the daily use of radar, the accuracy of health assessment can be improved continuously by on-line feedback mechanism, in order to ensure the comprehensive support capability of radar life.