Fault Diagnosis Based on an Approach Combining a Spectrogram and a Convolutional Neural Network with Application to a Wind Turbine System

An Effective Approach for Rotor Electrical Asymmetry Detection in Wind Turbine DFIGs

(2018) Raed Khalaf Ibrahim et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Data driven sensor and actuator fault detection and isolation in wind turbine using classifier fusion

(2018) Vahid Pashazadeh et al.   RENEWABLE ENERGY

A novel wind turbine fault diagnosis method based on intergral extension load mean decomposition multiscale entropy and least squares support vector machine

(2018) Q.W. Gao et al.   RENEWABLE ENERGY

Consideration of lifetime and fatigue load in wind turbine control

(2018) Jackson G. Njiri et al.   RENEWABLE ENERGY

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

(2017) Pedro Lind et al.   Energies

Artificial neural network and empirical mode decomposition based imbalance fault diagnosis of wind turbine using TurbSim, FAST and Simulink

(2017) Hasmat Malik et al.   IET Renewable Power Generation

A novel wind turbine weak feature extraction method based on Cross Genetic Algorithm optimal MHW

(2017) He Ren et al.   MEASUREMENT

Damage/fault diagnosis in an operating wind turbine under uncertainty via a vibration response Gaussian mixture random coefficient model based framework

(2017) Luis David Avendaño-Valencia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of multi-class fuzzy support vector machine classifier for fault diagnosis of wind turbine

(2016) Jun Hang et al.   FUZZY SETS AND SYSTEMS

Wind Turbine Modeling With Data-Driven Methods and Radially Uniform Designs

(2016) Matthias Tan et al.   IEEE Transactions on Industrial Informatics

Quantitative Evaluation of Wind Turbine Faults Under Variable Operational Conditions

(2016) Xiaohang Jin et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

(2016) Jinglong Chen et al.   RENEWABLE ENERGY

Fatigue Load Estimation through a Simple Stochastic Model

(2014) Pedro Lind et al.   Energies

Wind turbine fault detection based on SCADA data analysis using ANN

(2014) Zhen-You Zhang et al.   Advances in Manufacturing

Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine

(2013) Baoping Tang et al.   RENEWABLE ENERGY

Stochastic method for in-situ damage analysis

(2012) P. Rinn et al.   EUROPEAN PHYSICAL JOURNAL B

Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM

(2012) Liu Wenyi et al.   RENEWABLE ENERGY