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Research on an Optimization Method of Uncertainty Evaluation for Unbalanced Bridge Based on Particle Swarm Optimization
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LU Zhengting,LIN Jiazheng,YANG Yulin,HAN Xida,LIN Xudong *
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School of Physics and Astronomy,Sun Yat-sen University,Zhuhai519082,China
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Abstract
In order to reduce the measurement error of the unbalanced bridge,a method based on the particle swarm algorithm to control the uncertainty of the unbalanced bridge was proposed. First,the uncertainty evaluation model of the unbalanced bridge was established,and then the particle swarm algorithm was used to optimize the various influencing parameters.Finally,the comparison experiment of the uncertainty before and after the algorithm optimization was carried out.The results showed that the method of this paper can reduce the uncertainty of the unbalanced bridge measurement by 98. 64%,and could be applied to various teaching experiments that need resistance.
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Published: 25 August 2025
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