Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Debora Cevasco is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Finished
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REMS EPSRC Centre for Doctoral Training in Renewable Energy Marine Structures | Cevasco, Debora
Brennan, F., Boulougouris, E. & Cevasco, D.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/18 → 20/03/23
Project: Research Studentship - Internally Allocated
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HOME Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms
Barnes, M., Collu, M., Lin, Z. & Cevasco, D.
2/04/17 → 31/03/20
Project: Research
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A damage detection and location scheme for offshore wind turbine jacket structures based on global modal properties
Cevasco, D., Tautz-Weinert, J., Richmond, M., Sobey, A. & Kolios, A., 1 Jun 2022, In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B - Mechanical Engineering. 8, 2, 12 p., 021103 .Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)99 Downloads (Pure) -
Deep neural network hard parameter multi-task learning for condition monitoring of an offshore wind turbine
Black, I. M., Cevasco, D. & Kolios, A., 1 May 2022, In: Journal of Physics: Conference Series. 2265, 3, 10 p., 032091.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile2 Citations (Scopus)7 Downloads (Pure)
Datasets
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Dataset for European Installed Offshore Wind Turbines (until year end 2017)
Cevasco, D. (Creator) & Collu, M. (Creator), Cranfield University, 26 Oct 2018
DOI: 10.17862/cranfield.rd.6133673, https://cranfield.figshare.com/
Dataset
Thesis
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Failure diagnosis for offshore wind turbines with low availability of run-to-failure data
Author: Cevasco, D., 20 Mar 2023Supervisor: Brennan, F. (Supervisor) & Boulougouris, E. (Supervisor)
Student thesis: Doctoral Thesis