Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades

Comparative study of short-term extreme responses and fatigue damages of a floating wind turbine using two different blade models

(2020) Xiaoqi Qu et al.   APPLIED OCEAN RESEARCH

Structural health monitoring of towers and blades for floating offshore wind turbines using operational modal analysis and modal properties with numerical-sensor signals

(2019) Hyoung-Chul Kim et al.   OCEAN ENGINEERING

Experimental Comparison of an Annular Floating Offshore Wind Turbine Hull Against Past Model Test Data

(2019) Hannah L. Allen et al.   JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

(2018) Özal Yildirim   COMPUTERS IN BIOLOGY AND MEDICINE

Fatigue analysis of floating wind turbine support structure applying modified stress transfer function by artificial neural network

(2018) Hyeon-Jin Kim et al.   OCEAN ENGINEERING

Anomaly detection and fault analysis of wind turbine components based on deep learning network

(2018) Hongshan Zhao et al.   RENEWABLE ENERGY

Wind Turbine Blade Breakage Monitoring With Deep Autoencoders

(2018) Long Wang et al.   IEEE Transactions on Smart Grid

Integrated data-driven model-based approach to condition monitoring of the wind turbine gearbox

(2017) Peng Qian et al.   IET Renewable Power Generation

Multiresolution wavelet transform based feature extraction and ECG classification to detect cardiac abnormalities

(2017) Santanu Sahoo et al.   MEASUREMENT

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

A Data-Driven Diagnostic Framework for Wind Turbine Structures: A Holistic Approach

(2017) Simona Bogoevska et al.   SENSORS

Damage and ice detection on wind turbine rotor blades using a three-tier modular structural health monitoring framework

(2017) Stavroula Tsiapoki et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Operational Modal Analysis of a Spar-Type Floating Platform Using Frequency Domain Decomposition Method

(2016) Carlo Ruzzo et al.   Energies

Three-Tier Modular Structural Health Monitoring Framework Using Environmental and Operational Condition Clustering for Data Normalization: Validation on an Operational Wind Turbine System

(2016) Moritz W. Hackell et al.   PROCEEDINGS OF THE IEEE

Developments in semi-submersible floating foundations supporting wind turbines: A comprehensive review

(2016) Yichao Liu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Automatic ECG arrhythmia classification using dual tree complex wavelet based features

(2015) Manu Thomas et al.   AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Crack detection technique for operating wind turbine blades using Vibro-Acoustic Modulation

(2014) Sungmin Kim et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform

(2013) Roshan Joy Martis et al.   Biomedical Signal Processing and Control

Damping estimation of an offshore wind turbine on a monopile foundation

(2013) Christof Devriendt et al.   IET Renewable Power Generation

Validation of a FAST semi-submersible floating wind turbine numerical model with DeepCwind test data

(2013) Alexander J. Coulling et al.   Journal of Renewable and Sustainable Energy

On damage diagnosis for a wind turbine blade using pattern recognition

(2013) N. Dervilis et al.   JOURNAL OF SOUND AND VIBRATION

Data-driven design of robust fault detection system for wind turbines

(2013) Shen Yin et al.   MECHATRONICS

Pricing offshore wind power

(2011) Andrew C. Levitt et al.   ENERGY POLICY

Dynamic Testing of Alfred Zampa Memorial Bridge

(2008) Joel P. Conte et al.   JOURNAL OF STRUCTURAL ENGINEERING

Condition monitoring and fault detection of wind turbines and related algorithms: A review

(2007) Z. Hameed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS