Multi-Objective Particle Swarm Optimization of Sensor Distribution Scheme with Consideration of the Accuracy and the Robustness for Deformation Reconstruction

doi:10.3390/s19061306

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	Multi-Objective Particle Swarm Optimization of Sensor Distribution Scheme with Consideration of the Accuracy and the Robustness for Deformation Reconstruction
	Xu, Qian2 ; Xue, Song 1; Bao, Hong 1; Zhao, Feifei 1
刊名	SENSORS
	2019-03-02
卷号	19 期号:6 页码:13
关键词	inverse finite element method multi-objective particle swarm optimization deformation reconstruction transfer relationship optimal model
ISSN号	1424-8220
DOI	10.3390/s19061306
通讯作者	Bao, Hong(hbao@xidian.edu.cn)
英文摘要	For the inverse finite element method (iFEM), an inappropriate scheme of strain senor distribution would cause severe degradation of the deformation reconstruction accuracy. The robustness of the strain-displacement transfer relationship and the accuracy of reconstruction displacement are the two key factors of reconstruction accuracy. Previous research studies have been focused on single-objective optimization for the robustness of the strain-displacement transfer relationship. However, researchers found that it was difficult to reach a mutual balance between robustness and accuracy using single-objective optimization. In order to solve this problem, a bi-objective optimal model for the scheme of sensor distribution was proposed for this paper, where multi-objective particle swarm optimization (MOPSO) was employed to optimize the robustness and the accuracy. Initially, a hollow circular beam subjected to various loads was used as a case to perform the static analysis. Next, the optimization model was established and two different schemes of strain sensor were obtained correspondingly. Finally, the proposed schemes were successfully implemented in both the simulation calculation and the experiment test. It was found that the results from the proposed optimization model in this paper proved to be a promising tool for the selection of the scheme of strain sensor distribution.
资助项目	National Natural Science Foundation of China[51675398] ; CAS Light of West China Program[2016-QNXZ-A-7] ; joint Research Fund in Astronomy[U1731135]
WOS关键词	ERROR
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种	英语
出版者	MDPI
WOS记录号	WOS:000465520200044
资助机构	National Natural Science Foundation of China ; CAS Light of West China Program ; joint Research Fund in Astronomy
内容类型	期刊论文
源URL	[http://ir.xao.ac.cn/handle/45760611-7/2692]
专题	射电天文天线组
通讯作者	Bao, Hong
作者单位	1.Xidian Univ, Key Lab Elect Equipment Struct Design, Minist Educ, Xian 710071, Shaanxi, Peoples R China 2.Chinese Acad Sci, Xinjiang Observ, Natl Astron Observ, Urumqi 830011, Peoples R China
推荐引用方式 GB/T 7714	Xu, Qian,Xue, Song,Bao, Hong,et al. Multi-Objective Particle Swarm Optimization of Sensor Distribution Scheme with Consideration of the Accuracy and the Robustness for Deformation Reconstruction[J]. SENSORS,2019,19(6):13.
APA	Xu, Qian,Xue, Song,Bao, Hong,&Zhao, Feifei.(2019).Multi-Objective Particle Swarm Optimization of Sensor Distribution Scheme with Consideration of the Accuracy and the Robustness for Deformation Reconstruction.SENSORS,19(6),13.
MLA	Xu, Qian,et al."Multi-Objective Particle Swarm Optimization of Sensor Distribution Scheme with Consideration of the Accuracy and the Robustness for Deformation Reconstruction".SENSORS 19.6(2019):13.