Artificial fish swarm algorithm based optimal sensor placement

被引：0
|
作者：
Peng, Zhen-Rui [1 ]
Zhao, Yu [2 ]
Yin, Hong [1 ]
Pan, An [1 ]
机构：
[1] School of Mechatronics Engineering, Lanzhou Jiaotong University, China
[2] School of Electronic Information and Electrical Engineering, Tianshui Normal University, China
来源：
International Journal of Control and Automation | 2015年 / 8卷 / 04期
关键词：
Artificial fish - Artificial fish swarm algorithms - Bridge structures - Modal assurance criterion - Objective functions - Optimal sensor placement - Optimal solutions - Particle swarm optimization method (PSO);
D O I：
10.14257/ijca.2015.8.4.28
中图分类号：
学科分类号：
摘要：
In order to gain more information reflecting bridge health status, with fewer sensors, a method based on artificial fish swarm algorithm (AFSA) is proposed to solve optimal sensor placement (OSP) problem. The algorithm takes modal assurance criterion (MAC) matrix obtained from modal analysis of an arch bridge structure as the objective function. Four typical behaviors of artificial fish are applied to search the optimal solution. The results show that AFSA is more effective than the particle swarm optimization (PSO) method, in achieving optimal sensor placement. © 2015 SERSC.
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收藏
页码：287 / 300
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