费希尔信息
执行机构
公制(单位)
计算机科学
有限元法
最优化问题
控制理论(社会学)
计量系统
数学优化
灵敏度(控制系统)
鉴定(生物学)
算法
数学
电子工程
工程类
结构工程
人工智能
控制(管理)
天文
物理
机器学习
生物
植物
运营管理
作者
Alice Reinbacher‐Köstinger,Andreas Gschwentner,Eniz Mušeljić,Manfred Kaltenbacher
出处
期刊:Mathematics
[Multidisciplinary Digital Publishing Institute]
日期:2024-07-16
卷期号:12 (14): 2220-2220
摘要
The aim of this work is to optimize the sensor positions of a sensor–actuator measurement system for identifying local variations in the magnetic permeability of cut steel sheets. Before solving the actual identification problem, i.e., finding the material distribution, the sensor placement of the measurement setup should be improved in order to reduce the uncertainty of the identification of the material distribution. The Fisher information matrix (FIM), which allows one to quantify the amount of information that the measurements carry about the unknown parameters, is used as the main metric for the objective function of this design optimization. The forward problem is solved by the finite element method. The results show that the proposed method is able to find optimal sensor positions as well as the minimum number of sensors to achieve a desired maximum parameter uncertainty.
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