A Health Evaluation Model for Radar Seeker Based on Data Mining Technology

A large amount of experimental data has been accumulated in the production process of radar seekers. The discovery of useful knowledge for diagnosing and predicting the quality status of radar seekers from a large amount of experimental data is a fundamental issue in the field of radar seeker data analysis. In response to this issue, a health status assessment method for guidance heads based on data mining technology has been studied. In this paper, the application of data mining technology in the analysis of radar seeker test data is explored. The basic functional model framework for evaluating the health status of radar seekers based on data mining technology has been established. Finally, the health status of the radar seeker related products was verified. The validation results show that the model can quickly and accurately detect abnormal data, which can effectively evaluate evaluation of the health status of the radar seeker.