Vibration prediction of offshore wind turbines based on long short-term memory network
出版年份 2023 全文链接
标题
Vibration prediction of offshore wind turbines based on long short-term memory network
作者
关键词
-
出版物
Ships and Offshore Structures
Volume -, Issue -, Pages 1-11
出版商
Informa UK Limited
发表日期
2023-09-26
DOI
10.1080/17445302.2023.2260941
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A hybrid EMD-LSTM model for non-stationary wave prediction in offshore China
- (2022) Wei Hao et al. OCEAN ENGINEERING
- Complex Pearson Correlation Coefficient for EEG Connectivity Analysis
- (2022) Zoran Šverko et al. SENSORS
- Dynamic Response Analysis and Vibration Control for A Fixed-Bottom Offshore Wind Turbine Subjected to Multiple External Excitations
- (2022) Shuang-yi Xie et al. CHINA OCEAN ENGINEERING
- Perspectives and Challenges Related Offshore Wind Turbines in Deep Water
- (2022) Finn Gunnar Nielsen Energies
- Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results
- (2022) Bowei Zhang et al. ENERGY
- Review of integrated installation technologies for offshore wind turbines: Current progress and future development trends
- (2022) Yaohua Guo et al. ENERGY CONVERSION AND MANAGEMENT
- An integrated FEA-CFD simulation of offshore wind turbines with vibration control systems
- (2022) Andreas Kampitsis et al. ENGINEERING STRUCTURES
- Are CDS spreads predictable during the Covid-19 pandemic? Forecasting based on SVM, GMDH, LSTM and Markov switching autoregression
- (2022) Darko B. Vukovic et al. EXPERT SYSTEMS WITH APPLICATIONS
- Numerical study on vortex-induced vibration of wind turbine airfoil at high angle of attack via free vibration simulation
- (2022) Bo Lian et al. Journal of Renewable and Sustainable Energy
- CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production
- (2022) Ali Agga et al. ELECTRIC POWER SYSTEMS RESEARCH
- Techno-economic analysis and Monte Carlo simulation for green hydrogen production using offshore wind power plant
- (2022) Dohyung Jang et al. ENERGY CONVERSION AND MANAGEMENT
- Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models
- (2022) Guo Chun Wang et al. Engineering Applications of Computational Fluid Mechanics
- Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation
- (2022) Jun Zhan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Bivariate statistics of floating offshore wind turbine dynamic response under operational conditions
- (2022) Xiaosen Xu et al. OCEAN ENGINEERING
- Short-term solar irradiance forecasting based on a novel Bayesian optimized deep Long Short-Term Memory neural network
- (2022) Neethu Elizabeth Michael et al. APPLIED ENERGY
- HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting
- (2022) Ahmed A. Ewees et al. ENERGY CONVERSION AND MANAGEMENT
- A comparative assessment of SARIMA, LSTM RNN and Fb Prophet models to forecast total and peak monthly energy demand for India
- (2022) Shobhit Chaturvedi et al. ENERGY POLICY
- A review of wind speed and wind power forecasting with deep neural networks
- (2021) Yun Wang et al. APPLIED ENERGY
- Ultra-short term wind power prediction applying a novel model named SATCN-LSTM
- (2021) Ling Xiang et al. ENERGY CONVERSION AND MANAGEMENT
- Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
- (2021) Ahmet Kara EXPERT SYSTEMS WITH APPLICATIONS
- Online condition monitoring of floating wind turbines drivetrain by means of digital twin
- (2021) Farid K. Moghadam et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks
- (2021) Junchuan Shi et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A Combined Method of Improved Grey BP Neural Network and MEEMD-ARIMA for Day-Ahead Wave Energy Forecast
- (2021) Feng Wu et al. IEEE Transactions on Sustainable Energy
- Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization
- (2021) Seçkin Karasu et al. ENERGY
- Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network
- (2020) Zi Lin et al. ENERGY
- A new time-frequency analysis method based on single mode function decomposition for offshore wind turbines
- (2020) Fushun Liu et al. MARINE STRUCTURES
- Coupled modeling and structural vibration control for floating offshore wind turbine
- (2020) J.J. Yang et al. RENEWABLE ENERGY
- Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure
- (2020) Alan Turnbull et al. WIND ENERGY
- Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability
- (2020) Sofia Koukoura et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Interference reduction of high-energy noise for modal parameter identification of offshore wind turbines based on iterative signal extraction
- (2019) Fushun Liu et al. OCEAN ENGINEERING
- Deep-learning-based Wind Speed Forecasting Considering Spatial–temporal Correlations with Adjacent Wind Turbines
- (2019) Xiaoyu Shi et al. JOURNAL OF COASTAL RESEARCH
- Investigation of dynamic characteristics of a monopile wind turbine based on sea test
- (2019) Lin Zhou et al. OCEAN ENGINEERING
- Structural vibration monitoring and operational modal analysis of offshore wind turbine structure
- (2018) Xiaofeng Dong et al. OCEAN ENGINEERING
- Evaluation of damping estimates by automated Operational Modal Analysis for offshore wind turbine tower vibrations
- (2018) Anela Bajrić et al. RENEWABLE ENERGY
- A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
- (2018) Ya-Lan Hu et al. ENERGY CONVERSION AND MANAGEMENT
- A novel framework for wind speed prediction based on recurrent neural networks and support vector machine
- (2018) Chuanjin Yu et al. ENERGY CONVERSION AND MANAGEMENT
- Vibration source identification of offshore wind turbine structure based on optimized spectral kurtosis and ensemble empirical mode decomposition
- (2018) Xiaofeng Dong et al. OCEAN ENGINEERING
- LSTM-EFG for wind power forecasting based on sequential correlation features
- (2018) Ruiguo Yu et al. Future Generation Computer Systems-The International Journal of eScience
- A modal decomposition and expansion approach for prediction of dynamic responses on a monopile offshore wind turbine using a limited number of vibration sensors
- (2016) Alexandros Iliopoulos et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm
- (2016) Maria Martinez-Luengo et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Identification of support structure damping of a full scale offshore wind turbine in normal operation
- (2015) Christina Koukoura et al. RENEWABLE ENERGY
- Operational modal identification of offshore wind turbine structure based on modified stochastic subspace identification method considering harmonic interference
- (2014) Xiaofeng Dong et al. Journal of Renewable and Sustainable Energy
- Structural health monitoring of offshore wind turbines using automated operational modal analysis
- (2014) Christof Devriendt et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Status and problems of wind turbine structural health monitoring techniques in China
- (2010) Wenyi Liu et al. RENEWABLE ENERGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started