A new hybrid model based on secondary decomposition, reinforcement learning and SRU network for wind turbine gearbox oil temperature forecasting

A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network

(2020) Hui Liu et al.   ADVANCED ENGINEERING INFORMATICS

A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning

(2020) Chengzhi Qu et al.   APPLIED SOFT COMPUTING

EEG-based emotion recognition using simple recurrent units network and ensemble learning

(2020) Chen Wei et al.   Biomedical Signal Processing and Control

Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine

(2020) Zhenya Wang et al.   MEASUREMENT

A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

(2020) Hui Liu et al.   ENERGY

A real-time power quality events recognition using variational mode decomposition and online-sequential extreme learning machine

(2020) Mrutyunjaya Sahani et al.   MEASUREMENT

Kernellized support vector regressive machine based variational mode decomposition for time frequency analysis of Mirnov coil

(2020) C. Jayakumar et al.   MICROPROCESSORS AND MICROSYSTEMS

A hybrid DBN-SOM-PF-based prognostic approach of remaining useful life for wind turbine gearbox

(2020) Yubin Pan et al.   RENEWABLE ENERGY

A tacholess order tracking method for wind turbine planetary gearbox fault detection

(2019) Bingchang Hou et al.   MEASUREMENT

Comparison of condition monitoring techniques in assessing fault severity for a wind turbine gearbox under non-stationary loading

(2019) Inturi Vamsi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion

(2019) Yubin Pan et al.   MECHANISM AND MACHINE THEORY

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

Improved pollution forecasting hybrid algorithms based on the ensemble method

(2019) Hui Liu et al.   APPLIED MATHEMATICAL MODELLING

Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

(2019) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach

(2019) Yu Ding et al.   ADVANCED ENGINEERING INFORMATICS

Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction

(2019) Hui Liu et al.   APPLIED ENERGY

A reinforcement learning unit matching recurrent neural network for the state trend prediction of rolling bearings

(2019) Feng Li et al.   MEASUREMENT

Performance enhancement of the artificial neural network–based reinforcement learning for wind turbine yaw control

(2019) Aitor Saenz‐Aguirre et al.   WIND ENERGY

Speech enhancement based on simple recurrent unit network

(2019) Xingyue Cui et al.   APPLIED ACOUSTICS

A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm

(2019) Zhaoshuang He et al.   APPLIED MATHEMATICAL MODELLING

A decomposition-based many-objective artificial bee colony algorithm with reinforcement learning

(2019) Haitong Zhao et al.   APPLIED SOFT COMPUTING

An adaptive hybrid model for short term wind speed forecasting

(2019) Jinliang Zhang et al.   ENERGY

Inspection method for random simulation of runoff sequence based on sample entropy and statistical parameters

(2019) X.X. Ma et al.   JOURNAL OF HYDROLOGY

Wind speed forecasting models based on data decomposition, feature selection and group method of data handling network

(2019) Hui Liu et al.   MEASUREMENT

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

A quadratic penalty item optimal variational mode decomposition method based on single-objective salp swarm algorithm

(2019) Xinlong Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Echo state network optimization using binary grey wolf algorithm

(2019) Junxiu Liu et al.   NEUROCOMPUTING

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

On the use of temperature for online condition monitoring of geared systems – A review

(2018) T. Touret et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data

(2018) Phong B. Dao et al.   RENEWABLE ENERGY

An integrated approach for wind turbine gearbox fatigue life prediction considering instantaneously varying load conditions

(2018) Fangfang Ding et al.   RENEWABLE ENERGY

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2018) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy

(2018) Yanfei Li et al.   RENEWABLE ENERGY

Composite quantile regression extreme learning machine with feature selection for short-term wind speed forecasting: A new approach

(2017) Weiqin Zheng et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

(2017) Tian Peng et al.   ENERGY CONVERSION AND MANAGEMENT

Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum Analysis for hour-ahead wind speed forecasting

(2017) Chuanjin Yu et al.   ENERGY CONVERSION AND MANAGEMENT

Quantitative evaluation method of arc sound spectrum based on sample entropy

(2017) Ping Yao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Variable speed wind turbine controller adaptation by reinforcement learning

(2016) Borja Fernandez-Gauna et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

Influences of carrier assembly errors on the dynamic characteristics for wind turbine gearbox

(2016) Hongfei Zhai et al.   MECHANISM AND MACHINE THEORY

Variational mode decomposition denoising combined the detrended fluctuation analysis

(2016) Yuanyuan Liu et al.   SIGNAL PROCESSING

Data mining techniques for performance analysis of onshore wind farms

(2015) Davide Astolfi et al.   APPLIED ENERGY

Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions

(2015) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Backward Q-learning: The combination of Sarsa algorithm and Q-learning

(2013) Yin-Hao Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Neural network Reinforcement Learning for visual control of robot manipulators

(2012) Zoran Miljković et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection

(2010) Meik Schlechtingen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Speaker identification using discrete wavelet packet transform technique with irregular decomposition

(2008) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Energy and entropy-based feature extraction for locating fault on transmission lines by using neural network and wavelet packet decomposition

(2007) S EKICI et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of wastewater treatment plant performance based on wavelet packet decomposition and neural networks

(2006) D HANBAY et al.   EXPERT SYSTEMS WITH APPLICATIONS