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：

Ocean Engineering | / 301卷

关键词：

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

共 18 条

[1] Fault-tolerant control for nonlinear offshore steel jacket platforms based on reinforcement learning
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[2] An Integrated Intelligent System for Robust Damage Detection in Offshore Jacket Platforms Using Advanced Signal Processing
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[9] Early Detection of Gynecological Malignancies Using Ensemble Deep Learning Models: Resnet50 and Inception V3
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