Hypervelocity impact(HVI)vibration source identification and localization have found wide applications in many fields,such as manned spacecraft protection and machine tool collision damage detection and localization.In this paper,we study the synchrosqueezed transform(SST)algorithm and the texture color distribution(TCD)based HVI source identification and localization using impact images.The extracted SST and TCD image features are fused for HVI image representation.To achieve more accurate detection and localization,the optimal selective stitching features OSSST+TCD are obtained by correlating and evaluating the similarity between the sample label and each dimension of the features.Popular conventional classification and regression models are merged by voting and stacking to achieve the final detection and localization.To demonstrate the effectiveness of the proposed algorithm,the HVI data recorded from three kinds of high-speed bullet striking on an aluminum alloy plate is used for experimentation.The experimental results show that the proposed HVI identification and localization algorithm is more accurate than other algorithms.Finally,based on sensor distribution,an accurate four-circle centroid localization algorithm is developed for HVI source coordinate localization.

Jiao BAO;Lifu LIU;Jiuwen CAO

Department of Computer Engineering,Chengdu Technological University,Chengdu 611730,China;Machine Learning and I-health International Cooperation Base of Zhejiang Province,Hangzhou Dianzi University,Hangzhou 310018,China;Artificial Intelligence Institute,Hangzhou Dianzi University,Hangzhou 310018,China

信息与电子工程前沿（英文）

[1]Jiao BAO;Lifu LIU;Jiuwen CAO-.Vibration-based hypervelocity impact identification and localization)[J].信息与电子工程前沿（英文）,2022(04):515-529

Hypervelocity,OSSST+TCD

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