Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation

Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis

(2021) Yu Wang et al.   SENSORS

Review of Vibration-Based Structural Health Monitoring Using Deep Learning

(2020) Gyungmin Toh et al.   Applied Sciences-Basel

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

(2020) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

Diagnosis of Faulty Wind Turbine Bearings Using Tower Vibration Measurements

(2020) Francesco Castellani et al.   Energies

A novel wind turbine data imputation method with multiple optimizations based on GANs

(2020) Fuming Qu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Temporal Convolutional Networks Applied to Energy-Related Time Series Forecasting

(2020) Pedro Lara-Benítez et al.   Applied Sciences-Basel

Probabilistic forecasting with temporal convolutional neural network

(2020) Yitian Chen et al.   NEUROCOMPUTING

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

(2020) Jianbo Yu et al.   IEEE Transactions on Industrial Informatics

Deep learning for prognostics and health management: State of the art, challenges, and opportunities

(2020) Behnoush Rezaeianjouybari et al.   MEASUREMENT

Condition Monitoring of Wind Turbine Generators Using SCADA Data Analysis

(2020) Xiaohang Jin et al.   IEEE Transactions on Sustainable Energy

Detection of Lightning Damage on Wind Turbine Blades Using the SCADA System

(2020) Takuto Matsui et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A systematic Failure Mode Effects and Criticality Analysis for offshore wind turbine systems towards integrated condition based maintenance strategies

(2019) Matti Niclas Scheu et al.   OCEAN ENGINEERING

Structural damage detections based on a general vibration model identification approach

(2019) Chao Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review

(2019) Tianyang Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Damage detection techniques for wind turbine blades: A review

(2019) Ying Du et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Condition monitoring of wind turbines based on spatio-temporal fusion of SCADA data by convolutional neural networks and gated recurrent units

(2019) Ziqian Kong et al.   RENEWABLE ENERGY

Health Assessment Methods for Wind Turbines Based on Power Prediction and Mahalanobis Distance

(2018) Jun Zhan et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Gear fault diagnosis based on the structured sparsity time-frequency analysis

(2018) Ruobin Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gearbox condition monitoring in wind turbines: A review

(2018) Jack P. Salameh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Torsional vibration signal analysis as a diagnostic tool for planetary gear fault detection

(2018) Song Xue et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration

(2018) AbdElRahman ElSaid et al.   APPLIED SOFT COMPUTING

A signal processing framework for operational modal analysis in time and frequency domain

(2018) A. Brandt   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach

(2017) Pedro Lind et al.   Energies

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

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

Using SCADA data for wind turbine condition monitoring – a review

(2017) Jannis Tautz-Weinert et al.   IET Renewable Power Generation

Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train – A contemporary survey

(2017) R. Uma Maheswari et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Comparative investigation of vibration and current monitoring for prediction of mechanical and electrical faults in induction motor based on multiclass-support vector machine algorithms

(2017) Purushottam Gangsar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2017) Rui Zhao et al.   SENSORS

Simultaneous Fault Detection and Sensor Selection for Condition Monitoring of Wind Turbines

(2016) Wenna Zhang et al.   Energies

Wind Turbine Tower Vibration Modeling and Monitoring by the Nonlinear State Estimation Technique (NSET)

(2012) Peng Guo et al.   Energies

Fault detection and diagnosis within a wind turbine mechanical braking system using condition monitoring

(2012) M. Entezami et al.   RENEWABLE ENERGY