CLC number: TP391.4
On-line Access: 2022-04-20
Received: 2020-09-16
Revision Accepted: 2022-05-04
Crosschecked: 2021-04-09
Cited: 0
Clicked: 6568
Citations: Bibtex RefMan EndNote GB/T7714
Jiao BAO, Lifu LIU, Jiuwen CAO. Vibration-based hypervelocity impact identification and localization[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2000483 @article{title="Vibration-based hypervelocity impact identification and localization", %0 Journal Article TY - JOUR
基于振动的超高速碰撞识别与定位1成都工业学院计算机工程学院,中国成都市,611730 2杭州电子科技大学浙江省机器学习与健康国际合作基地,中国杭州市,310018 3杭州电子科技大学人工智能研究院,中国杭州市,310018 摘要:超高速碰撞(HVI)振动源识别与定位在载人航天器防护、机床碰撞损伤检测与定位等领域有着广泛应用。本文研究了基于同步压缩变换(SST)和纹理颜色分布(TCD)的冲击图像HVI源识别和定位算法。提出基于SST和TCD图像特征融合的HVI图像表示方法。为实现更精确的检测和定位,通过关联和评估样本标签与特征维度之间的相似性,获得最优选择性特征OSSST+TCD。将常用的分类和回归模型通过投票和堆叠融合,实现最终的检测和定位。基于所采集的3种高速子弹撞击铝合金板产生的HVI数据,验证了所提算法的有效性。实验结果表明本文提出的HVI识别与定位算法具有更高精准度。最后基于传感器分布,提出一种精确的四圆质心定位算法用于HVI源坐标定位。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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