爆炸中走时层析成像的传感器分布设计

Sensor distribution design of travel time tomography in explosion.

作者信息

Guo Yali, Han Yan, Wang Liming, Liu Linmao

机构信息

National Key Laboratory of Electronic Test Technology, North University of China, Taiyuan 030051, China.

出版信息

Sensors (Basel). 2014 Jul 15;14(7):12687-700. doi: 10.3390/s140712687.

DOI:10.3390/s140712687

PMID:25029284

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4168504/

Abstract

Optimal sensor distribution in explosion testing is important in saving test costs and improving experiment efficiency. Aiming at travel time tomography in an explosion, an optimizing method in sensor distribution is proposed to improve the inversion stability. The influence factors of inversion stability are analyzed and the evaluating function on optimizing sensor distribution is proposed. This paper presents a sub-region and multi-scale cell partition method, according to the characteristics of a shock wave in an explosion. An adaptive escaping particle swarm optimization algorithm is employed to achieve the optimal sensor distribution. The experimental results demonstrate that optimal sensor distribution has improved both indexes and inversion stability.

摘要

爆炸测试中优化传感器分布对于节省测试成本和提高实验效率至关重要。针对爆炸中的走时层析成像，提出一种传感器分布优化方法以提高反演稳定性。分析了反演稳定性的影响因素并提出了优化传感器分布的评价函数。根据爆炸中冲击波的特性，本文提出了一种子区域和多尺度单元划分方法。采用自适应逃逸粒子群优化算法实现传感器的最优分布。实验结果表明，最优传感器分布提高了指标和反演稳定性。