Deep learning based segmentation using full wavefield processing for delamination identification: A comparative study
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep learning based segmentation using full wavefield processing for delamination identification: A comparative study
Authors
Keywords
Lamb waves, Structural health monitoring, Semantic segmentation, Delamination identification, Deep learning, Fully convolutional neural networks
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 168, Issue -, Pages 108671
Publisher
Elsevier BV
Online
2021-12-11
DOI
10.1016/j.ymssp.2021.108671
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Crack identification in laminated composites based on modal responses using metaheuristics, artificial neural networks and response surface method: a comparative study
- (2021) Felipe Mouallem de Assis et al. ARCHIVE OF APPLIED MECHANICS
- Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review
- (2020) Mohsen Azimi et al. SENSORS
- Neural network-based damage identification in composite laminated plates using frequency shifts
- (2020) Guilherme Antonio Oliver et al. NEURAL COMPUTING & APPLICATIONS
- Using the hybrid DAS-SR method for damage localization in composite plates
- (2020) A. Nokhbatolfoghahai et al. COMPOSITE STRUCTURES
- Full wavefield processing by using FCN for delamination detection
- (2020) Abdalraheem A. Ijjeh et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization
- (2019) Nur Sila Gulgec et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Damage Identification in Various Types of Composite Plates Using Guided Waves Excited by a Piezoelectric Transducer and Measured by a Laser Vibrometer
- (2019) Maciej Radzieński et al. SENSORS
- Deep learning for enhancing wavefield image quality in fast non-contact inspections
- (2019) Yasamin Keshmiri Esfandabadi et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Deep learning based crack damage detection technique for thin plate structures using guided lamb wave signals
- (2019) Heng Liu et al. Smart Materials and Structures
- Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization
- (2018) Samir Khatir et al. COMPTES RENDUS MECANIQUE
- Vision-Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking
- (2018) Xiangxiong Kong et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Impact induced damage assessment by means of Lamb wave image processing
- (2018) Pawel Kudela et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Impact damage visualization in a honeycomb composite panel through laser inspection using zero-lag cross-correlation imaging condition
- (2018) Donato Girolamo et al. ULTRASONICS
- Autonomous concrete crack detection using deep fully convolutional neural network
- (2018) Cao Vu Dung et al. AUTOMATION IN CONSTRUCTION
- A Sensor Data Fusion System Based on k-Nearest Neighbor Pattern Classification for Structural Health Monitoring Applications
- (2017) Jaime Vitola et al. SENSORS
- Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection
- (2017) Deegan J Atha et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Guided wave based structural health monitoring: A review
- (2016) Mira Mitra et al. Smart Materials and Structures
- A machine-learning approach for structural damage detection using least square support vector machine based on a new combinational kernel function
- (2016) Ramin Ghiasi et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Application of Artificial Neural Networks and Probability Ellipse methods for damage detection using Lamb waves
- (2015) A. De Fenza et al. COMPOSITE STRUCTURES
- Identification of cracks in thin-walled structures by means of wavenumber filtering
- (2015) Paweł Kudela et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Robust dimensionality reduction and damage detection approaches in structural health monitoring
- (2014) Nguyen LD Khoa et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Structural Damage Identification Using an Adaptive Multi-stage Optimization Method Based on a Modified Particle Swarm Algorithm
- (2013) M. R. Nouri Shirazi et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Impact localization in composite structures of arbitrary cross section
- (2012) Francesco Ciampa et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Fault detection based on Kernel Principal Component Analysis
- (2010) Viet Ha Nguyen et al. ENGINEERING STRUCTURES
- A Multilayer Delaminated Composite Beam and Plate Elements: Reflections of Lamb Waves at Delamination
- (2009) P. Kudela et al. MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
- Damage Localisation in a Stiffened Composite Panel
- (2008) D. Chetwynd et al. STRAIN
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started