Archivio Istituzionale della RicercaNAVA, VINCENZO
NAVA, VINCENZO
Dipartimento di Ingegneria dell'Ambiente, del Territorio e delle Infrastrutture
095246
From augmentation to translation: Data generation by conditional hierarchical variational autoencoder, enhancing monitoring mooring systems in floating offshore wind turbines
2026 Fathnejat, Hamed; Nava, Vincenzo
Towards Robust Machine Learning Models for the Estimation of Mooring-Line Tension in Floating Wind Turbines under Unknown Sea Conditions
2026 Kämmerling, Max; Nava, Vincenzo; Mendikoa, Iñigo; Ser, Javier Del
A methodology for expert knowledge imbrication in mooring system design using Bayesian based optimization
2025 Aristondo, A.; Abanda, A.; Esteras, M.; Nava, V.; Penalba, M.
Damage detection in mooring systems of floating offshore wind turbines using semi-supervised GAN with image-transformed limited labelled data
2025 Tamuly, Pranjal; Nava, Vincenzo
Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution
2025 Fathnejat, Hamed; Nava, Vincenzo
Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine
2025 Fernandez-Navamuel, Ana; Gorostidi, Nicolas; Pardo, David; Nava, Vincenzo; Chatzi, Eleni
Hierarchical Variational Approach for Domain Translation in Unseen Damaged Mooring Systems
2025 Fathnejat, Hamed; Nava, Vincenzo
Integrated damage detection and time-series data augmentation for floating offshore mooring systems via variational semi-supervised learning
2025 Tamuly, P.; Sharma, S.; Nava, V.
Machine learning based conformal predictors for uncertainty-aware compressive strength estimation of concrete
2025 Tamuly, Pranjal; Nava, Vincenzo
Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework
2025 Gonzalez-Sieiro, J.; Pardo, D.; Nava, V.; Calo, V. M.; Towara, M.
Uncertainty-aware Bayesian optimisation framework for the design of floating offshore wind turbines
2025 Aristondo, Ander; Nava, Vincenzo; Esteras, Miguel; Penalba, Markel
Unseen Mooring Monitoring by Conditional Hierarchical Variational Domain Translation
2025 Fathnejat, Hamed; Nava, Vincenzo
Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients
2024 Sharma, S.; Nava, V.
Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate
2024 Pena-Sanchez, Y.; Garcia-Violini, D.; Penalba, M.; Zarketa-Astigarraga, A.; Ferri, F.; Nava, V.; Ringwood, J. V.
Exploiting Axisymmetry to Optimize CFD Simulations—Heave Motion and Wave Radiation of a Spherical Buoy
2024 Davidson, Josh; Nava, Vincenzo; Andersen, Jacob; Kramer Morten, Bech
Fault detection and identification for control systems in floating offshore wind farms: A supervised Deep Learning methodology
2024 Fernandez-Navamuel, A.; Pena-Sanchez, Y.; Nava, V.
Monitoring Mooring Lines of Floating Offshore Wind Turbines: Autoregressive Coefficients and Stacked Auto-Associative-Deep Neural Networks
2024 Sharma, S.; Nava, Vincenzo
Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches
2024 García-Violini, Demián; Faedo, Nicolas; Pena-Sanchez, Yerai; Nava, Vincenzo; Ringwood, John V.
Targeting the high frequency tail of wave spectra for energy harvesting in marine sensor networks
2024 Davidson, J.; Nava, V.
Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders
2023 Gorostidi, N.; Pardo, D.; Nava, V.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| From augmentation to translation: Data generation by conditional hierarchical variational autoencoder, enhancing monitoring mooring systems in floating offshore wind turbines / Fathnejat, Hamed; Nava, Vincenzo. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - 163:(2026). [10.1016/j.engappai.2025.112951] | 1-gen-2026 | Vincenzo Nava + | 1-s2.0-S0952197625029823-main.pdf |
| Towards Robust Machine Learning Models for the Estimation of Mooring-Line Tension in Floating Wind Turbines under Unknown Sea Conditions / Kämmerling, M., Nava, V., Mendikoa, I., Ser, J.D.. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - 3224:(2026). (The Science of Making Torque from Wind (TORQUE 2026) Bruges (Bel) 3-5 June 2026) [10.1088/1742-6596/3224/6/062030]. | 1-gen-2026 | Nava, Vincenzo + | Kämmerling_2026_J._Phys.__Conf._Ser._3224_062030.pdf |
| A methodology for expert knowledge imbrication in mooring system design using Bayesian based optimization / Aristondo, A.; Abanda, A.; Esteras, M.; Nava, V.; Penalba, M.. - (2025). ( 6th International Conference on Renewable Energies Offshore - RENEW 2024 Lisbon (Por) 19-21 November 2024) [10.1201/9781003558859-40]. | 1-gen-2025 | Nava V. + | - |
| Damage detection in mooring systems of floating offshore wind turbines using semi-supervised GAN with image-transformed limited labelled data / Tamuly, Pranjal; Nava, Vincenzo. - In: ADVANCES IN STRUCTURAL ENGINEERING. - ISSN 1369-4332. - (2025). [10.1177/13694332251391469] | 1-gen-2025 | Vincenzo Nava + | tamuly-nava-2025-damage-detection-in-mooring-systems-of-floating-offshore-wind-turbines-using-semi-supervised-gan-with.pdf |
| Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution / Fathnejat, H., Nava, V.. - In: ENGINEERING WITH COMPUTERS. - ISSN 0177-0667. - (2025). [10.1007/s00366-025-02148-6] | 1-gen-2025 | Vincenzo Nava + | s00366-025-02148-6+(2) (1)_compressed.pdf |
| Gaussian mixture autoencoder for uncertainty-aware damage identification in a floating offshore wind turbine / Fernandez-Navamuel, A., Gorostidi, N., Pardo, D., Nava, V., Chatzi, E.. - In: WIND ENERGY SCIENCE. - ISSN 2366-7443. - 10:5(2025), pp. 857-885. [10.5194/wes-10-857-2025] | 1-gen-2025 | Nava, Vincenzo + | wes-10-857-2025.pdf |
| Hierarchical Variational Approach for Domain Translation in Unseen Damaged Mooring Systems / Fathnejat, H., Nava, V.. - 770:(2025), pp. 363-375. (3rd International Conference on Resilience, Earthquake Engineering and Structural Health Monitoring, ICONREM 2024 Torino (Ita) 24-28 June 2024) [10.1007/978-3-032-08407-1_30]. | 1-gen-2025 | Vincenzo Nava + | - |
| Integrated damage detection and time-series data augmentation for floating offshore mooring systems via variational semi-supervised learning / Tamuly, P., Sharma, S., Nava, V.. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 330:(2025). [10.1016/j.oceaneng.2025.121199] | 1-gen-2025 | Nava V. + | Ocean_engineering_paper.pdf; 1-s2.0-S0029801825009126-main.pdf |
| Machine learning based conformal predictors for uncertainty-aware compressive strength estimation of concrete / Tamuly, P., Nava, V.. - In: CONSTRUCTION AND BUILDING MATERIALS. - ISSN 0950-0618. - 487:(2025). [10.1016/j.conbuildmat.2025.141844] | 1-gen-2025 | Nava, Vincenzo + | 1-s2.0-S0950061825019956-main.pdf |
| Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework / Gonzalez-Sieiro, J., Pardo, D., Nava, V., Calo, V.M., Towara, M.. - In: ENGINEERING WITH COMPUTERS. - ISSN 0177-0667. - 41:(2025), pp. 1699-1720. [10.1007/s00366-024-02057-0] | 1-gen-2025 | Nava V. + | s00366-024-02057-0.pdf |
| Uncertainty-aware Bayesian optimisation framework for the design of floating offshore wind turbines / Aristondo, A., Nava, V., Esteras, M., Penalba, M.. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 342:4(2025), pp. 1-14. [10.1016/j.oceaneng.2025.123080] | 1-gen-2025 | Nava, Vincenzo + | 1-s2.0-S0029801825027635-main.pdf |
| Unseen Mooring Monitoring by Conditional Hierarchical Variational Domain Translation / Fathnejat, H., Nava, V.. - 1:(2025), pp. 781-792. (11th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2025 Porto (Por) 2-4 July 2025) [10.1007/978-3-031-96110-6_77]. | 1-gen-2025 | Vincenzo Nava + | - |
| Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients / Sharma, S., Nava, V.. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 302:(2024). [10.1016/j.oceaneng.2024.117650] | 1-gen-2024 | Nava V. + | 1-s2.0-S0029801824009879-main4.pdf; 7.pdf |
| Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate / Pena-Sanchez, Y., Garcia-Violini, D., Penalba, M., Zarketa-Astigarraga, A., Ferri, F., Nava, V., Ringwood, J.V.. - In: RENEWABLE ENERGY. - ISSN 0960-1481. - 227:(2024). [10.1016/j.renene.2024.120506] | 1-gen-2024 | Ferri F.Nava V. + | 1-s2.0-S0960148124005718-main.pdf; 4.pdf |
| Exploiting Axisymmetry to Optimize CFD Simulations—Heave Motion and Wave Radiation of a Spherical Buoy / Davidson, Josh; Nava, Vincenzo; Andersen, Jacob; Kramer Morten, Bech. - In: SYMMETRY. - ISSN 2073-8994. - 16:9(2024). [10.3390/sym16091252] | 1-gen-2024 | Nava Vincenzo + | symmetry-16-01252-v3_compressed (1).pdf |
| Fault detection and identification for control systems in floating offshore wind farms: A supervised Deep Learning methodology / Fernandez-Navamuel, A.; Pena-Sanchez, Y.; Nava, V.. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 310:(2024). [10.1016/j.oceaneng.2024.118678] | 1-gen-2024 | Nava V. + | 1-s2.0-S002980182402016X-main2.pdf |
| Monitoring Mooring Lines of Floating Offshore Wind Turbines: Autoregressive Coefficients and Stacked Auto-Associative-Deep Neural Networks / Sharma, S., Nava, V.. - (2024). (20th International Conference on Condition Monitoring and Asset Management Oxford (UK) 10-17 June 2024) [10.1784/cm2024.3a2]. | 1-gen-2024 | Nava Vincenzo + | - |
| Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches / García-Violini, Demián; Faedo, Nicolas; Pena-Sanchez, Yerai; Nava, Vincenzo; Ringwood, John V.. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 311:(2024). [10.1016/j.oceaneng.2024.118864] | 1-gen-2024 | Nicolas FaedoVincenzo Nava + | 1-s2.0-S0029801824022029-main.pdf |
| Targeting the high frequency tail of wave spectra for energy harvesting in marine sensor networks / Davidson, J.; Nava, V.. - In: RENEWABLE ENERGY. - ISSN 0960-1481. - 237:(2024). [10.1016/j.renene.2024.121550] | 1-gen-2024 | Nava V. + | 1-s2.0-S0960148124016185-main2.pdf; 3.pdf |
| Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders / Gorostidi, N., Pardo, D., Nava, V.. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 287:(2023). [10.1016/j.oceaneng.2023.115862] | 1-gen-2023 | Nava V. + | 1-s2.0-S0029801823022461-main.pdf |