Prediction of damage location in composite plates using artificial neural network modeling
Author:
Publisher
SPIE
Reference33 articles.
1. A Review of Vibration-based Structural Health Monitoring with Special Emphasis on Composite Materials
2. Fast Ultrasonic Imaging with Total Focusing Method (TFM) for Inspection of Additively Manufactured Polymer Composite Component;Taheri,2018
3. Load monitoring and compensation strategies for guided-waves based structural health monitoring using piezoelectric transducers
4. Single-Sensor Acoustic Emission Source Localization in Plate-Like Structures Using Deep Learning
5. Magd Abdel Wahab. (2016). Joining Composites with Adhesives DEStech Pub li ca tions, Inc. 439 North Duke Street Lan cas ter, Penn syl va nia 17602 U.S.A.
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Multiscale Computational and Artificial Intelligence Models of Linear and Nonlinear Composites: A Review;Small Science;2024-03-19
2. Unsupervised Learning Techniques for Vibration-Based Structural Health Monitoring Systems Driven by Data;Handbook of Research on AI and ML for Intelligent Machines and Systems;2023-11-27
3. A global interactive attention-based lightweight denoising network for locating internal defects of CFRP laminates;Engineering Applications of Artificial Intelligence;2022-11
4. A Fault Detection Method and System for Highway Tunnel dome light Based on Improved YOLO with Locatization Loss Function;2022 4th International Conference on Industrial Artificial Intelligence (IAI);2022-08-24
5. Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications;Structural Health Monitoring;2022-05-13
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3