Sensors 2014, 14(7), 12687-12700; doi:10.3390/s140712687
Article

Sensor Distribution Design of Travel Time Tomography in Explosion

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Received: 7 May 2014; in revised form: 5 July 2014 / Accepted: 8 July 2014 / Published: 15 July 2014
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: sensor distribution design; travel time tomography; explosion; sub-region and multi-scale cells; adaptive escaping particle swarm optimization
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MDPI and ACS Style

Guo, Y.; Han, Y.; Wang, L.; Liu, L. Sensor Distribution Design of Travel Time Tomography in Explosion. Sensors 2014, 14, 12687-12700.

AMA Style

Guo Y, Han Y, Wang L, Liu L. Sensor Distribution Design of Travel Time Tomography in Explosion. Sensors. 2014; 14(7):12687-12700.

Chicago/Turabian Style

Guo, Yali; Han, Yan; Wang, Liming; Liu, Linmao. 2014. "Sensor Distribution Design of Travel Time Tomography in Explosion." Sensors 14, no. 7: 12687-12700.

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