Fast reconstruction method for defect profiles of ferromagnetic materials based on metal magnetic memory technique

被引：3
作者：
Li, Junting [1 ]
Su, Sanqing [1 ]
Wang, Wei [1 ]
Liu, Xinwei [1 ]
Zuo, Fuliang [1 ]
机构：
[1] Xian Univ Architecture & Technol, Sch Civil Engn, Xian 710055, Shaanxi, Peoples R China
来源：
MEASUREMENT | 2023年 / 215卷
基金：
中国国家自然科学基金;
关键词：
Metal magnetic memory; Defect reconstruction; Magnetic charge model; Particle swarm optimization algorithm; FLUX LEAKAGE SIGNAL;
D O I：
10.1016/j.measurement.2023.112885
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a fast reconstruction method for surface defect profiles of ferromagnetic materials is proposed based on the metal magnetic memory technology. An improved magnetic charge model that can adapt to rectangular and V-shaped defect profiles and a new particle swarm optimization algorithm based on a chaotic initial distribution, sigmoid inertia weight coefficient, and sine cosine acceleration coefficients are established as the forward model and iterative means of the method, respectively. The proposed method is verified with theoretical and experimental data, and the influence of noise is considered. The reconstruction method has good accuracy, repeatability, and robustness.
引用
收藏
页数：10
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