Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review

IF 1.8 3区材料科学 Q3 MATERIALS SCIENCE, COMPOSITES

Advanced Composite Materials Pub Date : 2023-05-18 DOI:10.1080/09243046.2023.2215474

Muhammad Muzammil Azad, Sungjun Kim, Yu Bin Cheon, Heung Soo Kim

引用次数: 5

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使用机器学习、深度学习和迁移学习的复合结构智能结构健康监测综述

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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来源期刊

Advanced Composite Materials 工程技术-材料科学：复合

CiteScore

5.00

自引率

20.70%

发文量

审稿时长

3 months

期刊介绍： "Advanced Composite Materials (ACM), a bi-monthly publication of the Japan Society for Composite Materials and the Korean Society for Composite Materials, provides an international forum for researchers, manufacturers and designers who are working in the field of composite materials and their structures. Issues contain articles on all aspects of current scientific and technological progress in this interdisciplinary field. The topics of interest are physical, chemical, mechanical and other properties of advanced composites as well as their constituent materials; experimental and theoretical studies relating microscopic to macroscopic behavior; testing and evaluation with emphasis on environmental effects and reliability; novel techniques of fabricating various types of composites and of forming structural components utilizing these materials; design and analysis for specific applications. Advanced Composite Materials publishes refereed original research papers, review papers, technical papers and short notes as well as some translated papers originally published in the Journal of the Japan Society for Composite Materials. Issues also contain news items such as information on new materials and their processing."