Safety Assessment of Liquid Launch Vehicle Structures Based on Interpretable Belief Rule Base  

作　　者：Gang Xiang Xiaoyu Cheng Wei He Peng Han 

机构地区：[1]Beihang University School of Automation Science and Electrical Engineering,Beijing,100083,China [2]Beijing Aerospace Automatic Control Institute,Beijing,100070,China [3]School of Computer Science and Information Engineering,Harbin Normal University,Harbin,150025,China [4]Rocket Force University of Engineering,Xi’an,710025,China

出　　处：《Computer Systems Science & Engineering》2023年第10期273-298,共26页计算机系统科学与工程（英文）

基　　金：This work was supported in part by the Natural Science Foundation of China under Grant 62203461 and Grant 62203365;in part by the Postdoctoral Science Foundation of China under Grant No.2020M683736,in part by the Teaching Reform Project of Higher Education in Heilongjiang Province under Grant Nos.SJGY20210456 and SJGY20210457;in part by the Natural Science Foundation of Heilongjiang Province of China under Grant No.LH2021F038,and in part by the Graduate Academic Innovation Project of Harbin Normal University under Grant Nos.HSDSSCX2022-17,HSDSSCX2022-18 and HSDSSCX2022-19。

摘　　要：A liquid launch vehicle is an important carrier in aviation,and its regular operation is essential to maintain space security.In the safety assessment of fluid launch vehicle body structure,it is necessary to ensure that the assessmentmodel can learn self-response rules from various uncertain data and not differently to provide a traceable and interpretable assessment process.Therefore,a belief rule base with interpretability(BRB-i)assessment method of liquid launch vehicle structure safety status combines data and knowledge.Moreover,an innovative whale optimization algorithm with interpretable constraints is proposed.The experiments are carried out based on the liquid launch vehicle safety experiment platform,and the information on the safety status of the liquid launch vehicle is obtained by monitoring the detection indicators under the simulation platform.The MSEs of the proposed model are 3.8000e-03,1.3000e-03,2.1000e-03,and 1.8936e-04 for 25%,45%,65%,and 84%of the training samples,respectively.It can be seen that the proposed model also shows a better ability to handle small sample data.Meanwhile,the belief distribution of the BRB-i model output has a high fitting trend with the belief distribution of the expert knowledge settings,which indicates the interpretability of the BRB-i model.Experimental results show that,compared with other methods,the BRB-i model guarantees the model’s interpretability and the high precision of experimental results.

关 键 词：Liquid launch vehicle belief rule base with interpretability belief rule base whale optimization algorithm vibration frequency swaying angle 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术] V475.1[航空宇航科学与技术—飞行器设计]