Archivio Istituzionale della RicercaNAVA, VINCENZO
NAVA, VINCENZO
Dipartimento di Ingegneria dell'Ambiente, del Territorio e delle Infrastrutture
095246
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.
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
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
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
Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework
2024 Gonzalez-Sieiro, J.; Pardo, D.; Nava, V.; Calo, V. M.; Towara, M.
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.
Environmental Assessment tool in DTOcean+: reducing local and global environmental impacts for ocean energy projects
2023 Araignous, Emma; Kervella, Youen; Michelet, Nicolas; Luxcey, Neil; Nava, Vincenzo; Duarte, Rui; Isorna, Rocio; Safi, Georges
Estimating Future Costs of Emerging Wave Energy Technologies
2023 Ruiz-Minguela, P.; Noble, D. R.; Nava, V.; Pennock, S.; Blanco, J. M.; Jeffrey, H.
Successful innovation strategies to overcome the technical challenges in the development of wave energy technologies
2023 Ruiz-Minguela, P.; Blanco, J. M.; Nava, V.
Numerical Approaches for Loads and Motions Assessment of Floating WECs Moored by Means of Catenary Mooring Systems
2022 Touzon, I.; Petuya, V.; Nava, V.; Alonso-Reig, M.; Mendikoa, I.
Technology-Agnostic Assessment of Wave Energy System Capabilities
2022 Ruiz-Minguela, P.; Blanco, J. M.; Nava, V.; Jeffrey, H.
Frequency domain modelling of a coupled system of floating structure and mooring Lines: An application to a wave energy converter
2021 Touzon, I.; Nava, V.; Gao, Z.; Petuya, V.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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). (Intervento presentato al convegno RENEW2024) [10.1201/9781003558859-40]. | 1-gen-2025 | Nava V. + | - |
| Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution / Fathnejat, Hamed; Nava, Vincenzo. - 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, Ana; Gorostidi, Nicolas; Pardo, David; Nava, Vincenzo; Chatzi, Eleni. - 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 |
| 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, Pranjal; Nava, Vincenzo. - 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 |
| 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, Vincenzo. - (2024). (Intervento presentato al convegno CM2024) [10.1784/cm2024.3a2]. | 1-gen-2024 | Nava Vincenzo + | - |
| 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. - (2024). [10.1007/s00366-024-02057-0] | 1-gen-2024 | Nava V. + | s00366-024-02057-0.pdf |
| 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 |
| Environmental Assessment tool in DTOcean+: reducing local and global environmental impacts for ocean energy projects / Araignous, Emma; Kervella, Youen; Michelet, Nicolas; Luxcey, Neil; Nava, Vincenzo; Duarte, Rui; Isorna, Rocio; Safi, Georges. - In: INTERNATIONAL MARINE ENERGY JOURNAL. - ISSN 2631-5548. - 6:2(2023). [10.36688/imej.6.63-90] | 1-gen-2023 | Nava Vincenzo + | Article+Manuscript,+Araignous_et_al_revised.pdf |
| Estimating Future Costs of Emerging Wave Energy Technologies / Ruiz-Minguela, P.; Noble, D. R.; Nava, V.; Pennock, S.; Blanco, J. M.; Jeffrey, H.. - In: SUSTAINABILITY. - ISSN 2071-1050. - 15:1(2023). [10.3390/su15010215] | 1-gen-2023 | Nava V. + | sustainability-15-00215.pdf |
| Successful innovation strategies to overcome the technical challenges in the development of wave energy technologies / Ruiz-Minguela, P.; Blanco, J. M.; Nava, V.. - 15:(2023). (Intervento presentato al convegno EWTEC2023) [10.36688/ewtec-2023-144]. | 1-gen-2023 | Nava V. + | - |
| Numerical Approaches for Loads and Motions Assessment of Floating WECs Moored by Means of Catenary Mooring Systems / Touzon, I.; Petuya, V.; Nava, V.; Alonso-Reig, M.; Mendikoa, I.. - 108:(2022), pp. 59-69. (Intervento presentato al convegno 1st Workshop IFToMM for Sustainable Development Goals, I4SDG 2021 nel 2021) [10.1007/978-3-030-87383-7_7]. | 1-gen-2022 | Nava V. + | - |
| Technology-Agnostic Assessment of Wave Energy System Capabilities / Ruiz-Minguela, P.; Blanco, J. M.; Nava, V.; Jeffrey, H.. - In: ENERGIES. - ISSN 1996-1073. - 15:7(2022). [10.3390/en15072624] | 1-gen-2022 | Nava V. + | energies-15-02624.pdf |
| Frequency domain modelling of a coupled system of floating structure and mooring Lines: An application to a wave energy converter / Touzon, I.; Nava, V.; Gao, Z.; Petuya, V.. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 220:(2021). [10.1016/j.oceaneng.2020.108498] | 1-gen-2021 | Nava V. + | 1-s2.0-S0029801820314050-main.pdf; 6.pdf |