Accelerometer Optimization Placement Using Improved Particle Swarm Optimization Algorithm Based on Structural Damage Identification

作     者：Zhuoda Jiang Yang Gao 

作者机构：Key Laboratory of Numerical Control of Jiangxi Province Jiujiang University Jiangxi China (332005 School of Mechatronics Engineering and Automation Shanghai University Shanghai China (200072 

出 版 物：《IOP Conference Series: Materials Science and Engineering》 

年 卷 期：2018年第466卷第1期

摘      要：In this paper, an Accelerometer optimization arrangement method based on Structural Damage Identification (SDI) is proposed. Firstly, the method constructs a fitness function according to the selection of the optimal measuring point of the displacement mode based on SDI, which selects a group of points with the largest displacement. Secondly, the efficient intelligent optimization is adopted. The algorithm, the improved particle swarm optimization algorithm, searches for the optimal placement position of the sensor. Finally, the feasibility and effectiveness of the proposed method for sensor optimal placement and damage identification are verified by an example of the wheel frame structure. Simulation and experimental results demonstrate the effectiveness of the proposed method.