Design of Hypervelocity-Impact Damage Assessment Technique based on Variational Bayesian. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Zhang, Haonan; Yin, Chun; Huang, Xuegang; Dadras, Sara; Chen, Kai; Dadras, Soodeh; Zhu, Bing
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 814
• Page End: 819
• Publication Date: 2020
• Subjects: Damage reconstruction model -- Variational Bayesian; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.836
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, a damage assessment framework based on the infrared technology is proposed to assess the damage of the spacecraft. This framework mainly contains three steps. Firstly, a damage reconstruction model based on sparse model is proposed to reconstruct the damage image of different layers. To estimate the parameter of the model, variational Bayesian is used for calculating the parameters. Secondly, a damage extraction method is used to eliminate noise in the images. At the same time, this procedure can effectively make the weak subsurface damage more clear. Finally, in order to compare the location of surface and subsurface damage, image fusion method is used to achieve damage fusion. In the experiment, the proposed framework is used for the Whipple shield detection, both images and evaluation parameters show the effectiveness and high-accuracy of the new model.