利用AWGA-gcForest算法对超声相控阵成像中的小缺陷进行自动量化

IF 3 3区材料科学 Q2 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Nondestructive Testing and Evaluation Pub Date : 2023-10-25 DOI:10.1080/10589759.2023.2274001

Jianjun Zhao, Kaiyue Yang, Xiaozhong Du, Shuxin Yao, Yizhen Zhao

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Automated quantification of small defects in ultrasonic phased array imaging using AWGA-gcForest algorithm

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来源期刊

Nondestructive Testing and Evaluation 工程技术-材料科学：表征与测试

CiteScore

4.30

自引率

11.50%

发文量

审稿时长

4 months

期刊介绍： Nondestructive Testing and Evaluation publishes the results of research and development in the underlying theory, novel techniques and applications of nondestructive testing and evaluation in the form of letters, original papers and review articles. Articles concerning both the investigation of physical processes and the development of mechanical processes and techniques are welcomed. Studies of conventional techniques, including radiography, ultrasound, eddy currents, magnetic properties and magnetic particle inspection, thermal imaging and dye penetrant, will be considered in addition to more advanced approaches using, for example, lasers, squid magnetometers, interferometers, synchrotron and neutron beams and Compton scattering. Work on the development of conventional and novel transducers is particularly welcomed. In addition, articles are invited on general aspects of nondestructive testing and evaluation in education, training, validation and links with engineering.