Online condition monitoring of floating wind turbines drivetrain by means of digital twin-Reference-Cited by-同舟云学术

Online condition monitoring of floating wind turbines drivetrain by means of digital twin

Published:2022-01 Issue: Volume:162 Page:108087
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Moghadam Farid K.,Nejad Amir R.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference54 articles.

1. European Commission – Press release. Boosting Offshore Renewable Energy for a Climate Neutral Europe, https://ec.europa.eu/commission/presscorner/detail/en/IP_20_2096, (accessed 19 November 2020).

2. P. Feldhaus, T. Vahlenkamp, Transformation of Europe’s Power System until 2050 Including Specific Considerations for Germany Electric Power and Natural Gas Practice, 2010.

3. World Energy Outlook 2020;IEA,2020

4. The Cost of Floating Offshore Wind Energy in California Between 2019 and 2032;Beiter,2020

5. Parametric CAPEX, OPEX, and LCOE expressions for offshore wind farms based on global deployment parameters;Ioannou;Energy Sour. B,2018

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