Open Journal of Composite Materials

Open Journal of Composite Materials

ISSN Print: 2164-5612
ISSN Online: 2164-5655
www.scirp.org/journal/ojcm
E-mail: ojcm@scirp.org
"On the Impact of Manufacturing Uncertainty in Structural Health Monitoring of Composite Structures: A Signal to Noise Weighted Neural Network Process"
written by Hessamodin Teimouri, Abbas S. Milani, Rudolf Seethaler, Amir Heidarzadeh,
published by Open Journal of Composite Materials, Vol.6 No.1, 2016
has been cited by the following article(s):
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[1] Local residual random forest classifier for strain-based damage detection and localization in aerospace sandwich structures
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[2] On Random Vibration Based Robust Damage Detection for a Population of Composite Aerostructures Under Variable and Non-measurable Excitation
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[3] Health monitoring of lightweight structures on the example of a civil aircraft spoiler/submitted by Dipl.-Ing. Thomas Bergmayr
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[4] A framework for physics-driven generation of feature data for strain-based damage detection in aerospace sandwich structures
Journal of Composite …, 2022
[5] Spatial Damage Prediction in Composite Materials Using Multipath Ultrasonic Monitoring, Advanced Signal Feature Selection and a Combined Classifying …
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[6] A progressive learning framework, leveraging machine-learning knowledgeability, towards Composites 4.0
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[7] REAL-TIME MATERIAL STATE ASSESSMENT OF COMPOSITES USING ARTIFICIAL INTELLIGENCE AND ITS CHALLENGES
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[8] Neural networks for predicting the temperature-dependent viscoelastic response of PEEK under constant stress rate loading
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[9] Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties—A review
Smart Materials and …, 2021
[10] Sparse bayesian learning approach for damage detection in a population of nominally identical structures
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[11] Data encoding and reconstruction of thermal imaging maps of impact damaged composite Structures using feature space and neural networks
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[12] Strain based method for monitoring the health state of composite structures
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[13] Ανίχνευση βλαβών σε δοκό από σύνθετα υλικά υπό διαφορετικές θερμοκρασίες και συνοριακές συνθήκες με μεθοδολογίες πολλαπλών μοντέλων που βασίζονται σε …
2019
[14] The Use of Intelligent Computational Tools for Damage Detection and Identification with an Emphasis on Composites-A Review
Composite Structures, 2018
[15] Vibration-based damage detection for a population of nominally identical structures: Unsupervised Multiple Model (MM) statistical time series type methods
Mechanical Systems and Signal Processing, 2018
[16] Assessing Static and Dynamic Response Variability due to Parametric Uncertainty on Fibre-Reinforced Composites
Journal of Composites Science, 2018
[17] A novel approach to analyze impact damage in composite structures using optical flow cross correlation with neural networks (N-OFCC)
2017
[18] Correlating and Modeling of Extracted Features from PVT Images of Composites using Optical Flow Technique and Weight Elimination Algorithm Optimization …
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[19] Assessing parametric uncertainty on fibre reinforced composite laminates
2017
[20] A Roadmap to Account for Potential Uncertainties in Non-Destructive Testing during Structural Health Monitoring of Composites
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[21] A Gaussian process–based approach to cope with uncertainty in structural health monitoring
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