Research on Evaluation of Safe Operation and Health State of Radar Power Supply System

Abstract

The operation status of radar power supply system directly affects the safety and performance of the whole radar equipment. How to realize the health status assessment of radar power supply is a problem to be solved. Firstly, the health feature data of radar power supply under normal state is used to train the self-organizing neural network. Then the distance between the monitoring data and the weight vector of the trained self-organizing neural network is calculated, and the distance value is normalized and expressed as the health degree. Finally, the health degree is calculated by using the test data, and the health classification is realized. The results show that the health degree calculated by the proposed model decreases with the aging time of power supply, and the model can realize the evaluation of the health status of radar power supply.

Keywords

• radar power supply
• safety
• neural network
• accelerated degradation test
• health state evaluation