Fault diagnosis of wind turbine blade icing based on feature engineering and the PSO-ConvLSTM-transformer-Reference-Cited by-同舟云学术

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Fault diagnosis of wind turbine blade icing based on feature engineering and the PSO-ConvLSTM-transformer

Published:2024-06 Issue: Volume:302 Page:117726
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Guo Jicai,Song Xiaowen,Tang Shufeng,Zhang Yanfeng,Wu Jianxin,Li Yuan,Jia Yan,Cai Chang,Li Qing'an

Publisher

Elsevier BV

Reference48 articles.

1. Global Offshore Wind Report 2023,2023

2. Random forests;Breiman;Mach. Learn.,2001

3. Numerical simulation of icing on nrel 5-MW reference offshore wind turbine blades under different icing conditions;Cao;China Ocean Eng.,2022

4. Learning deep representation for blades icing fault detection of wind turbines;Chen,2018

5. XGBoost: a scalable tree boosting system;Chen,2016

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