Cargando…

Structural Damage Identification of Composite Rotors Based on Fully Connected Neural Networks and Convolutional Neural Networks

Damage identification of composite structures is a major ongoing challenge for a secure operational life-cycle due to the complex, gradual damage behaviour of composite materials. Especially for composite rotors in aero-engines and wind-turbines, a cost-intensive maintenance service has to be perfor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Scholz, Veronika, Winkler, Peter, Hornig, Andreas, Gude, Maik, Filippatos, Angelos
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999067/ https://www.ncbi.nlm.nih.gov/pubmed/33809071 http://dx.doi.org/10.3390/s21062005

Ejemplares similares

Influence of Gradual Damage on the Structural Dynamic Behaviour of Composite Rotors: Experimental Investigations
por: Filippatos, Angelos, et al.
Publicado: (2018)

Influence of Gradual Damage on the Structural Dynamic Behaviour of Composite Rotors: Simulation Assessment
por: Filippatos, Angelos, et al.
Publicado: (2018)

A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback–Leibler Divergence, a Two-Sample Kolmogorov–Smirnov Test and a Statistical Hidden Markov Model
por: Filippatos, Angelos, et al.
Publicado: (2019)

Spatially Resolved Experimental Modal Analysis on High-Speed Composite Rotors Using a Non-Contact, Non-Rotating Sensor
por: Lich, Julian, et al.
Publicado: (2021)

Fully automatic wound segmentation with deep convolutional neural networks
por: Wang, Chuanbo, et al.
Publicado: (2020)

Road Surface Damage Detection Using Fully Convolutional Neural Networks and Semi-Supervised Learning
por: Chun, Chanjun, et al.
Publicado: (2019)

Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network
por: Hu, Wenxing, et al.
Publicado: (2023)

Classification of Electrocardiography Hybrid Convolutional Neural Network-Long Short Term Memory with Fully Connected Layer
por: Ramachandran, Dhanagopal, et al.
Publicado: (2022)

Degradation Mechanism Detection in Photovoltaic Backsheets by Fully Convolutional Neural Network
por: Zhang, Binbin, et al.
Publicado: (2019)

Locating transcription factor binding sites by fully convolutional neural network
por: Zhang, Qinhu, et al.
Publicado: (2021)

Modular Neural Networks with Fully Convolutional Networks for Typhoon-Induced Short-Term Rainfall Predictions
por: Wei, Chih-Chiang, et al.
Publicado: (2021)

Measurement of Conditional Relatedness Between Genes Using Fully Convolutional Neural Network
por: Wang, Yan, et al.
Publicado: (2019)

Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study †
por: Guo, Yunbo, et al.
Publicado: (2020)

Fully automated condyle segmentation using 3D convolutional neural networks
por: Jha, Nayansi, et al.
Publicado: (2022)

Accurate de novo peptide sequencing using fully convolutional neural networks
por: Liu, Kaiyuan, et al.
Publicado: (2023)

Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network
por: Rehman, Khalil ur, et al.
Publicado: (2021)

A New Method to Predict Damage to Composite Structures Using Convolutional Neural Networks
por: Mezeix, Laurent, et al.
Publicado: (2023)

Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery
por: Nemni, Edoardo, et al.
Publicado: (2020)

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
por: Chen, Liang, et al.
Publicado: (2017)

Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network
por: Razeghi, Orod, et al.
Publicado: (2020)

A Configurable and Fully Synthesizable RTL-Based Convolutional Neural Network for Biosensor Applications
por: Kumar, Pervesh, et al.
Publicado: (2022)

A benchmark study of convolutional neural networks in fully automatic segmentation of aortic root
por: Yang, Tingting, et al.
Publicado: (2023)

Autoencoders for sample size estimation for fully connected neural network classifiers
por: Gulamali, Faris F., et al.
Publicado: (2022)

Convolutional Neural Networks for Fully Automated Diagnosis of Cardiac Amyloidosis by Cardiac Magnetic Resonance Imaging
por: Agibetov, Asan, et al.
Publicado: (2021)

Damage Localization in Composite Plates Using Wavelet Transform and 2-D Convolutional Neural Networks
por: Azuara, Guillermo, et al.
Publicado: (2021)

Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors
por: Valtierra-Rodriguez, Martin, et al.
Publicado: (2020)

A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors
por: Barrera-Llanga, Kevin, et al.
Publicado: (2023)

Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks
por: Yi, Faliu, et al.
Publicado: (2018)

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing
por: Chlebus, Grzegorz, et al.
Publicado: (2018)

Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network
por: Huang, Chen, et al.
Publicado: (2019)

Fully Convolutional Deep Neural Networks with Optimized Hyperparameters for Detection of Shockable and Non-Shockable Rhythms
por: Krasteva, Vessela, et al.
Publicado: (2020)

A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis
por: Salem, Mostafa, et al.
Publicado: (2019)

Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks
por: Ye, Yufeng, et al.
Publicado: (2020)

N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
por: Nie, Xingqing, et al.
Publicado: (2022)

A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction
por: Zhang, Zhao, et al.
Publicado: (2021)

Nucleotide-level prediction of CircRNA-protein binding based on fully convolutional neural network
por: Shen, Zhen, et al.
Publicado: (2023)

Modal Identification of Output-Only Systems of Composite Discs Using Zernike Modes and MAC
por: Nguyen, Minh, et al.
Publicado: (2019)

Neural encoding with unsupervised spiking convolutional neural network
por: Wang, Chong, et al.
Publicado: (2023)

Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks
por: Skovsen, Søren, et al.
Publicado: (2017)

Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks
por: Koitka, Sven, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_6736r3t893vgondtt2gvhic4i3