Fatigue Load Prediction of Large Wind Turbine by Big Data and Deep Learning-Reference-Cited by-同舟云学术

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Fatigue Load Prediction of Large Wind Turbine by Big Data and Deep Learning

Published:2023-12-29 Issue: Volume:30 Page:275-280
ISSN:
Container-title:2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)
language:
Short-container-title:

Author:

Wu Jiayue¹,Yang Qinmin²,Jin Nanlin³

Affiliation:

1. xXi'an Jiaotong-Liverpool University,Low Carbon Electrical Power and Energy Technology,Suzhou,China

2. College of Control Science and Engineering, Zhejiang University,Hangzhou,China

3. Xi'an Jiaotong-Liverpool University,Department of Computing,Suzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441787/10441797/10442226.pdf?arnumber=10442226

Reference16 articles.

1. Validating EURO-CORDEX climate simulations for modelling European wind power generation

2. Ultimate structural and fatigue damage loads of a spar-type floating wind turbine

3. Dynamic synthetic inertial control method of wind turbines considering fatigue load

4. Models for lifetime estimation: an overview with focus on applications to wind turbines

5. Metal Fatigue in Engineering (1980)

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