Damage detection of a damped structure with neural networks

Mapping Intimacies ◽

10.2514/6.1996-1225 ◽

1996 ◽

Author(s):

Kevin Napolitano ◽

John Kosmatka

Keyword(s):

Neural Networks ◽

Damage Detection

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DAMAGE DETECTION ON ALUMINUM BEAMS USING VIBRATION-BASED METHOD AND ARTIFICIAL NEURAL NETWORKS.

10.26678/abcm.cobem2017.cob17-0583 ◽

2017 ◽

Author(s):

Luísa Völtz ◽

Eduardo Lenz Cardoso ◽

Ricardo De Medeiros

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Damage Detection ◽

Artificial Neural

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Application of Artificial Neural Networks for Membrane Damage Detection in a Bending-Active Construction

2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA) ◽

10.1109/summa50634.2020.9280750 ◽

2020 ◽

Author(s):

Andrei Chesnokov ◽

Vitalii Mikhailov ◽

Ivan Dolmatov

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Damage Detection ◽

Membrane Damage ◽

Artificial Neural

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Damage detection of catenary mooring line based on recurrent neural networks

Ocean Engineering ◽

10.1016/j.oceaneng.2021.108898 ◽

2021 ◽

Vol 227 ◽

pp. 108898

Author(s):

Kanghyeok Lee ◽

Minwoong Chung ◽

Seungjun Kim ◽

Do Hyoung Shin

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Recurrent Neural Networks ◽

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A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks

Computers & Structures ◽

10.1016/j.compstruc.2021.106568 ◽

2021 ◽

Vol 252 ◽

pp. 106568

Author(s):

Long Viet Ho ◽

Duong Huong Nguyen ◽

Mohsen Mousavi ◽

Guido De Roeck ◽

Thanh Bui-Tien ◽

...

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Computational Intelligence ◽

Structural Damage ◽

Feedforward Neural Networks ◽

Structural Damage Detection ◽

Marine Predator ◽

Intelligence Approach

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Structural Steel Plate Damage Detection using Non Destructive Testing, Frame Energy based Statistical Features and Artificial Neural Networks

Procedia Engineering ◽

10.1016/j.proeng.2013.02.049 ◽

2013 ◽

Vol 53 ◽

pp. 376-386 ◽

Author(s):

M.P. Paulraj ◽

Sazali Yaacob ◽

M.S. Abdul Majid ◽

Mohd Nor Fakhzan Mohd Kazim ◽

Pranesh Krishnan

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Damage Detection ◽

Structural Steel ◽

Steel Plate ◽

Statistical Features ◽

Non Destructive Testing ◽

Destructive Testing ◽

Artificial Neural ◽

Non Destructive

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Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition

Structural Control and Health Monitoring ◽

10.1002/stc.2288 ◽

2018 ◽

Vol 26 (2) ◽

pp. e2288 ◽

Author(s):

Saeed Eftekhar Azam ◽

Ahmed Rageh ◽

Daniel Linzell

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Damage Detection ◽

Proper Orthogonal Decomposition ◽

Orthogonal Decomposition ◽

Structural Systems ◽

Artificial Neural ◽

Proper Orthogonal

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Damage detection from aerial images via convolutional neural networks

2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA) ◽

10.23919/mva.2017.7986759 ◽

2017 ◽

Author(s):

Aito Fujita ◽

Ken Sakurada ◽

Tomoyuki Imaizumi ◽

Riho Ito ◽

Shuhei Hikosaka ◽

...

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Convolutional Neural Networks ◽

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Damage detection of steel bridge girder using Artificial Neural Networks

Emerging Technologies in Non-Destructive Testing V ◽

10.1201/b11837-74 ◽

2012 ◽

pp. 409-414 ◽

Author(s):

S Hakim ◽

H Razak

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Damage Detection ◽

Steel Bridge ◽

Bridge Girder ◽

Artificial Neural

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Momentum BP Neural Networks in Structural Damage Detection Based on Static Displacements and Natural Frequencies

Advances in Neural Networks – ISNN 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72395-0_5 ◽

2007 ◽

pp. 35-40

Author(s):

Xudong Yuan ◽

Chao Gao ◽

Shaoxia Gao

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Structural Damage ◽

Natural Frequencies ◽

Structural Damage Detection ◽

Bp Neural Networks

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Intelligent Damage Detection for Aircraft Engine with Context Encoder Neural Networks

Journal of Aerospace Information Systems ◽

10.2514/1.i010960 ◽

2021 ◽

pp. 1-10

Author(s):

Xinjie Guan ◽

Zheng Jian ◽

Xili Wan ◽

Renrui Xiao ◽

Yifeng Li

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Aircraft Engine

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