A deep-learning-based approach towards identifying combined faults in structural health monitoring

被引：0
|
作者：
Al-Nasser, Heba [1 ]
Al-Zuriqat, Thamer [1 ]
Dragos, Kosmas [1 ]
Chillón Geck, Carlos [1 ]
Smarsly, Kay [1 ]
机构：
[1] Institute of Digital and Autonomous Construction, Hamburg University of Technology, Germany
来源：
e-Journal of Nondestructive Testing | 2024年 / 29卷 / 07期
关键词：
D O I：
10.58286/29588
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty
    Peng, Weiwen
    Ye, Zhi-Sheng
    Chen, Nan
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (03) : 2283 - 2293
  • [42] A Deep-Learning-Based Approach to Keystroke-Injection Payload Generation
    Gurcinas, Vitalijus
    Dautartas, Juozas
    Janulevicius, Justinas
    Goranin, Nikolaj
    Cenys, Antanas
    ELECTRONICS, 2023, 12 (13)
  • [43] GenFormer: a deep-learning-based approach for generating multivariate stochastic processes
    Zhao, Haoran
    Uy, Wayne
    DATA-CENTRIC ENGINEERING, 2025, 6
  • [44] A Deep-learning-based approach to VM behavior Identification in Cloud Systems
    Stefanini, Matteo
    Lancellotti, Riccardo
    Baraldi, Lorenzo
    Calderara, Simone
    CLOSER: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE, 2019, : 308 - 315
  • [45] Toward understanding COVID-19 pneumonia: a deep-learning-based approach for severity analysis and monitoring the disease
    Mohammadreza Zandehshahvar
    Marly van Assen
    Hossein Maleki
    Yashar Kiarashi
    Carlo N. De Cecco
    Ali Adibi
    Scientific Reports, 11
  • [46] Personal Protective Equipment Detection: A Deep-Learning-Based Sustainable Approach
    Ahmed, Mohammed Imran Basheer
    Saraireh, Linah
    Rahman, Atta
    Al-Qarawi, Seba
    Mhran, Afnan
    Al-Jalaoud, Joud
    Al-Mudaifer, Danah
    Al-Haidar, Fayrouz
    Alkhulaifi, Dania
    Youldash, Mustafa
    Gollapalli, Mohammed
    SUSTAINABILITY, 2023, 15 (18)
  • [47] FER to FFR: a deep-learning-based approach for robust fatigue detection
    Patil, Rachana Yogesh
    Patil, Yogesh H.
    Bhandari, Sheetal U.
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2023, 72 (03) : 203 - 211
  • [48] Deep-learning-based ghost imaging
    Meng Lyu
    Wei Wang
    Hao Wang
    Haichao Wang
    Guowei Li
    Ni Chen
    Guohai Situ
    Scientific Reports, 7
  • [49] A novel deep-learning-based pressure distribution prediction approach of airfoils
    Zhang, Hao
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2023, 237 (16) : 3786 - 3799
  • [50] A dataset of the quality of soybean harvested by mechanization for deep-learning-based monitoring and analysis
    Chen, Man
    Jin, Chengqian
    Ni, Youliang
    Yang, Tengxiang
    Xu, Jinshan
    DATA IN BRIEF, 2024, 52
12345