论文标题
逆热源问题和实验设计用于确定铁损失分布
Inverse heat source problem and experimental design for determining iron loss distribution
论文作者
论文摘要
电机(例如电动机或变压器)的磁芯中的铁损失确定为反热源问题。优化了物体内部的传感器位置,以最大程度地减少贝叶斯实验设计的A型反应性的重建中的不确定性。本文重点介绍了问题制定和离散传感器优化和源重建问题的有效数值解决方案。半偶然的线性模型由有限元素离散并进行数值研究。
Iron loss determination in the magnetic core of an electrical machine, such as a motor or a transformer, is formulated as an inverse heat source problem. The sensor positions inside the object are optimized in order to minimize the uncertainty in the reconstruction in the sense of the A-optimality of Bayesian experimental design. This paper focuses on the problem formulation and an efficient numerical solution of the discretized sensor optimization and source reconstruction problems. A semirealistic linear model is discretized by finite elements and studied numerically.