Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets-Reference-Cited by-同舟云学术

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Self-adaptive optimized maintenance of offshore wind turbines by intelligent Petri nets

Published:2023-03 Issue: Volume:231 Page:109013
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Saleh Ali^ORCID,Chiachío Manuel,Salas Juan Fernández^ORCID,Kolios Athanasios^ORCID

Funder

Horizon 2020

H2020 Marie Skłodowska-Curie Actions

Horizon 2020 Framework Programme

University of Nottingham

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference70 articles.

1. Mordor Intelligence. Offshore wind turbine market - growth, trends, Covid-19 impact, and forecast (2022 - 2027). Technical Report, 2022.

2. Wind energy: Why the EU supports wind energy research and innovation;European Commission,2021

3. Jaganmohan M. Worldwide capacity of offshore wind power 2009–2020. Technical Report, 2021,.

4. Life-extension classification of offshore wind assets using unsupervised machine learning;Yeter;Reliab Eng Syst Saf,2022

5. Maintenance strategies for large offshore wind farms;Scheu;Energy Procedia,2012

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