Electrical impedance tomography based on improved MRNSD algorithm

被引：0
|
作者：
Fan W. [1 ]
Li J. [1 ]
Wang B. [1 ]
机构：
[1] College of Electronic Information and Automation, Civil Aviation University of China, Tianjin
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2020年 / 46卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Carbon Fiber Reinforced Polymer (CFRP); Electrical Impedance Tomography (EIT); Pretreatment; Regularization; Soft closed value;
D O I：
10.13700/j.bh.1001-5965.2019.0504
中图分类号：
学科分类号：
摘要：
Electrical Impedance Tomography (EIT), as a new nondestructive testing method for Carbon Fiber Reinforced Polymer (CFRP), has attracted extensive attention due to its low cost, non-radiation and visualization. Considering the serious ill-posedness of EIT inverse problem, regularization algorithm is usually used to improve the image quality. Based on the Modified Residual Norm Steepest Descent (MRNSD) algorithm, using its advantages in reducing image artifacts and maintaining boundary information, the MRNSD algorithm is improved by preprocessing and soft closed value method to solve the problems of semi-convergence and poor anti-noise effect of the algorithm. Through simulation and experiment, the imaging effects of the improved algorithm and several common algorithms are compared. The results show that the algorithm improves the image quality and anti-noise ability of EIT effectively, and achieves the automatic update of the optimal iteration times, which is conducive to promoting the practical application of EIT method in CFRP damage detection. © 2020, Editorial Board of JBUAA. All right reserved.
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收藏
页码：1564 / 1573
页数：9
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