关键词: 电磁学, 漏磁, 电磁计算, 共轭梯度法, 有限元神经网络

Abstract: To reduce computational cost of FEM, a neural network was adopted to simulate the process of finite element analysis, a finite element neural network (FENN) model to calculate the leakage field was established, and a conjugate gradient (CG) method was introduced as a learning algorithm. The magnetic leakage field of a rectangle defect was calculated by using FENN. The magnetic field intensity, magnetic flux density and the x and y components of leakage magnetic flux were obtained. The results indicate that the method has the advantages of rapidness and stability and can be applied to leakage field’s parallel resolving.

Key words: electromagnetics, magnetic flux leakage, electromagnetic calculation, conjugate gradient algorithm, finite element neural network