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

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Jiang, Zhuoda^1,2 ; Gao, Yang^1

Key Laboratory of Numerical Control of Jiangxi Province, Jiujiang University, Jiangxi

332005, China^1

School of Mechatronics Engineering and Automation, Shanghai University, Shanghai

200072, China^2

关键词: Damage Identification;    Displacement modes;    Fitness functions;    Improved particle swarm optimization algorithms;    Intelligent optimization;    Optimal measuring points;    Optimal placements;    Structural damage identification;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012093/pdf
DOI  :  10.1088/1757-899X/466/1/012093

学科分类：计算机科学（综合）

来源: IOP

【 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.