Research on Data Fusion for Flight Reliability Evaluation of Guided Munitions

Autor: Xuan Wang, Yaqin Zeng, Shiyan Sun, Yusen Cheng, Lin Li
Rok vydání: 2021
Předmět:
Zdroj: 2021 4th International Conference on Information Management and Management Science.
Popis: Aiming at the reliability evaluation process of guided ammunition, different reliability information is fused into mass function. In the fusion process, the expert experience information is subjective, and the evaluation result will be subjective if it is directly fused with the test data. Considering this problem, this paper uses the method based on the combination of D-S evidence theory and reliability entropy to fuse the data, At the same time, in order to increase the amount of data and make the evaluation process more reliable, reliability growth information is added on the basis of two kinds of information fusion, so that the evaluation process can make full use of the experimental data in the development cycle, and the reliability and weight of each evidence are revised again for the conflict problem of three kinds of information fusion, The modified three kinds of information are fused by D-S evidence theory synthesis rules. The analysis results show that the fusion method used in this paper can effectively improve the conflict problem, make the mass function value obtained by fusion more reliable, and provide a new idea for the reliability evaluation of guided ammunition.
Databáze: OpenAIRE