A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Offshore Wind Turbine Jacket Damage Detection via a Siamese Neural Network
https://orcid.org/http://orcid.org/0000-0001-6322-4608
https://orcid.org/http://orcid.org/0000-0003-4779-7777
https://orcid.org/http://orcid.org/0000-0003-4964-6948
https://orcid.org/http://orcid.org/0000-0002-2194-6853
https://orcid.org/http://orcid.org/0000-0003-0610-089X
This paper states a methodology to detect damage in the support structure of offshore wind turbines. Using vibration-response-only accelerometer measurement, a methodology based on a Siamese convolutional neural network is proposed. In contrast to standard Siamese Neural Networks (SNNs), which are feedforward neural networks, it is proposed to introduce convolutional layers to discerns between healthy and damage structural states. The strategy is validated in an experimental laboratory down-scaled structure. The results demonstrate the feasibility of the proposed methodology.
Offshore Wind Turbine Jacket Damage Detection via a Siamese Neural Network
https://orcid.org/http://orcid.org/0000-0001-6322-4608
https://orcid.org/http://orcid.org/0000-0003-4779-7777
https://orcid.org/http://orcid.org/0000-0003-4964-6948
https://orcid.org/http://orcid.org/0000-0002-2194-6853
https://orcid.org/http://orcid.org/0000-0003-0610-089X
This paper states a methodology to detect damage in the support structure of offshore wind turbines. Using vibration-response-only accelerometer measurement, a methodology based on a Siamese convolutional neural network is proposed. In contrast to standard Siamese Neural Networks (SNNs), which are feedforward neural networks, it is proposed to introduce convolutional layers to discerns between healthy and damage structural states. The strategy is validated in an experimental laboratory down-scaled structure. The results demonstrate the feasibility of the proposed methodology.
Offshore Wind Turbine Jacket Damage Detection via a Siamese Neural Network
https://orcid.org/http://orcid.org/0000-0001-6322-4608
https://orcid.org/http://orcid.org/0000-0003-4779-7777
https://orcid.org/http://orcid.org/0000-0003-4964-6948
https://orcid.org/http://orcid.org/0000-0002-2194-6853
https://orcid.org/http://orcid.org/0000-0003-0610-089X
This paper states a methodology to detect damage in the support structure of offshore wind turbines. Using vibration-response-only accelerometer measurement, a methodology based on a Siamese convolutional neural network is proposed. In contrast to standard Siamese Neural Networks (SNNs), which are feedforward neural networks, it is proposed to introduce convolutional layers to discerns between healthy and damage structural states. The strategy is validated in an experimental laboratory down-scaled structure. The results demonstrate the feasibility of the proposed methodology.
Offshore Wind Turbine Jacket Damage Detection via a Siamese Neural Network
Lecture Notes in Civil Engineering
Rizzo, Piervincenzo (editor) / Milazzo, Alberto (editor) / Tutivén, Christian (author) / Baquerizo, Joseph (author) / Vidal, Yolanda (author) / Puruncajas, Bryan (author) / Sampietro, José (author)
European Workshop on Structural Health Monitoring ; 2022 ; Palermo, Italy
2022-06-19
10 pages
Article/Chapter (Book)
Electronic Resource
English
Offshore fixed wind turbine , Jacket structure , Damage detection , Damage classification , Vibration-based SHM , Data-driven , Siamese neural network , Convolutional neural network Engineering , Building Repair and Maintenance , Cyber-physical systems, IoT , Industrial and Production Engineering , Monitoring/Environmental Analysis , Analytical Chemistry
JACKET STRUCTURE, OFFSHORE WIND TURBINE, JACKET STRUCTURE SYSTEM, AND OFFSHORE WIND TURBINE SYSTEM
| European Patent Office | 2023
JACKET STRUCTURE OFFSHORE WIND TURBINE JACKET STRUCTURE SYSTEM AND OFFSHORE WIND TURBINE SYSTEM
| European Patent Office | 2023
JACKET STRUCTURE, OFFSHORE WIND TURBINE, JACKET STRUCTURE SYSTEM, AND OFFSHORE WIND TURBINE SYSTEM
| European Patent Office | 2023