Abstract:

Aiming at the problem that the ground simulation test of multi-source X-ray radiation can not be carried out at present, an equivalent optimization method of single source X-ray radiation is proposed to guide the determination of multi factor values in the ground simulation test of equivalent single source X-ray radiation. Firstly, two data fusion modeling methods, including Kriging model and hierarchical Gaussian process model, are used to construct the corresponding data fusion models of single source X-ray radiation ground simulation test. Then, based on Kriging model and hierarchical Gaussian process model, expectation improvement equivalent optimization algorithm and hierarchical expectation improvement equivalent optimization algorithm are proposed. Through the comparative analysis of the two optimization algorithms, it can be seen that the hierarchical expectation improvement equivalent optimization algorithm contains more uncertainties in the search, and the global search effect is better. The simulation results show that the proposed method can provide guidance for the subsequent ground simulation test of equivalent single source X-ray radiation.

Key words: data fusion, equivalent model, X-ray radiation, ground simulation test