Structural health monitoring on offshore jacket platforms using a novel ensemble deep learning model

被引:0
|
作者
Wang, Mengmeng [1 ,2 ,3 ]
Incecik, Atilla [2 ]
Tian, Zhe [3 ]
Zhang, Mingyang [4 ]
Kujala, Pentti [5 ]
Gupta, Munish [6 ,7 ]
Krolczyk, Grzegorz [6 ]
Li, Zhixiong [3 ,6 ]
机构
[1] College of Ocean Science and Engineering, Shandong University of Science and Technology, Qingdao,266590, China
[2] Department of Naval Architecture, Ocean, and Marine Engineering, University of Strathclyde, Glasgow,G11XQ, United Kingdom
[3] Department of Marine Engineering, Ocean University of China, Qingdao,266100, China
[4] Department of Mechanical Engineering, Marine Technology Group, Aalto University, Espoo, Finland
[5] Tallinn University of Technology, Estonian Maritime Academy, Tallinn,19086, Estonia
[6] Faculty of Mechanical Engineering, Opole University of Technology, Opole,45-758, Poland
[7] Department of Mechanical Engineering, Graphic Era Deemed to be University, Uttarakhand, 248002, India
来源
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
117510
中图分类号
学科分类号
摘要
Aircraft detection - Convolutional neural networks - Deep learning - Drilling platforms - Feature extraction - Offshore oil well production - Particle swarm optimization (PSO) - Structural dynamics - Structural health monitoring
引用
收藏
相关论文
共 50 条
  • [21] Anomaly Detection in Structural Health Monitoring with Ensemble Learning and Reinforcement Learning
    Huang, Nan
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (01) : 121 - 135
  • [22] Model updating method for offshore jacket platforms using improved DNN and OOA considering non-uniform corrosion and structural responses
    Jia, Ziguang
    Dai, Song
    Fan, Zheliang
    Jia, Shuai
    Su, Xin
    Wang, Yanlin
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2025,
  • [23] Finite element model updating of offshore jacket platforms based on similar model experiment
    Lin H.
    Li P.
    Yang L.
    Qi B.
    Chen X.
    Chen G.
    Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science), 2019, 43 (02): : 113 - 122
  • [24] Online structural health monitoring by model order reduction and deep learning algorithms
    Rosafalco, Luca
    Torzoni, Matteo
    Manzoni, Andrea
    Mariani, Stefano
    Corigliano, Alberto
    COMPUTERS & STRUCTURES, 2021, 255
  • [25] Study on the structural monitoring and early warning conditions of aging jacket platforms
    Tang, Yougang
    Qing, Zhaoxi
    Zhu, Longhuan
    Zhang, Ruoyu
    OCEAN ENGINEERING, 2015, 101 : 152 - 160
  • [26] Design of a Structural Health Monitoring System and Performance Evaluation for a Jacket Offshore Platform in East China Sea
    Ye, Hailin
    Jiang, Chuwei
    Zu, Feng
    Li, Suzhen
    APPLIED SCIENCES-BASEL, 2022, 12 (23):
  • [27] A model experiment of damage detection for offshore jacket platforms based on partial measurement
    Shi Xiang
    Li Hua-jun
    Yang Yong-chun
    Gong Chen
    STRUCTURAL ENGINEERING AND MECHANICS, 2008, 29 (03) : 311 - 325
  • [28] Article Structural Health Monitoring for Jacket-Type Offshore Wind Turbines: Experimental Proof of Concept
    Vidal, Yolanda
    Aquino, Gabriela
    Pozo, Francesc
    Moises Gutierrez-Arias, Jose Eligio
    SENSORS, 2020, 20 (07)
  • [29] Condition-based structural health monitoring of offshore wind jacket structures: Opportunities, challenges, and perspectives
    Leng, Jiaxuan
    Gardoni, Paolo
    Wang, Mengmeng
    Li, Zhixiong
    Krolczyk, Grzegorz
    Feng, Shizhe
    Incecik, Atilla
    Li, Weihua
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2023, 22 (05): : 3558 - 3575
  • [30] Motion prediction of offshore platforms based on deep learning
    Xue, Jiafan
    Zhang, Hangwei
    He, Guanghua
    Jiang, Zecheng
    Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2024, 56 (08): : 163 - 170