Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost

Optimal Condition-based Opportunistic Maintenance and Spare Parts Provisioning for a Two-unit System using a State Space Partitioning Approach

(2021) Xiaohong Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

(2021) Radhya Sahal et al.   Applied Sciences-Basel

Evaluation of Anomaly Detection of an Autoencoder Based on Maintenace Information and Scada-Data

(2020) Marc-Alexander Lutz et al.   Energies

Joint Maintenance and Spare Parts Inventory Optimization for Multi-Unit Systems Considering Imperfect Maintenance Actions

(2020) Tao Yan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Risk-based maintenance planning of offshore wind turbine farms

(2020) B. Yeter et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Fault diagnosis based on extremely randomized trees in wireless sensor networks

(2020) Umer Saeed et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

A dynamic programming-based maintenance model of offshore wind turbine considering logistic delay and weather condition

(2019) Wenjin Zhu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case

(2019) Radhya Sahal et al.   JOURNAL OF MANUFACTURING SYSTEMS

Anomaly detection for wind turbines based on the reconstruction of condition parameters using stacked denoising autoencoders

(2019) Junsheng Chen et al.   RENEWABLE ENERGY

An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples

(2019) Jinjiang Wang et al.   RENEWABLE ENERGY

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

Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve

(2019) Huan Long et al.   IEEE Transactions on Sustainable Energy

Wind Power Curve Modeling With Asymmetric Error Distribution

(2019) Yun Wang et al.   IEEE Transactions on Sustainable Energy

Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data

(2018) Juchuan Dai et al.   RENEWABLE ENERGY

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

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

Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study

(2018) Elena Gonzalez et al.   RENEWABLE ENERGY

A Combined Algorithm for Cleaning Abnormal Data of Wind Turbine Power Curve Based on Change Point Grouping Algorithm and Quartile Algorithm

(2018) Xiaojun Shen et al.   IEEE Transactions on Sustainable Energy

Adaptive Confidence Boundary Modeling of Wind Turbine Power Curve using SCADA Data and Its Application

(2018)   IEEE Transactions on Sustainable Energy

Sensitivity study of a wind farm maintenance decision - A performance and revenue analysis

(2018) Jannis Tautz-Weinert et al.   RENEWABLE ENERGY

Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review

(2018) Hamed Habibi et al.   RENEWABLE ENERGY

A novel wind turbine condition monitoring method based on cloud computing

(2018) Peng Qian et al.   RENEWABLE ENERGY

Opportunistic maintenance strategy for wind turbines considering weather conditions and spare parts inventory management

(2018) Chen Zhang et al.   RENEWABLE ENERGY

Fault diagnosis of wind turbine based on Long Short-term memory networks

(2018) Jinhao Lei et al.   RENEWABLE ENERGY

Hierarchical method for wind turbine prognosis using SCADA data

(2017) Niya Chen et al.   IET Renewable Power Generation

The use of real option in condition-based maintenance scheduling for wind turbines with production and deterioration uncertainties

(2017) Houda Ghamlouch et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

(2017) Mahmood Shafiee et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An artificial neural network-based condition monitoring method for wind turbines, with application to the monitoring of the gearbox

(2017) P. Bangalore et al.   WIND ENERGY

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

A decision support system for strategic maintenance planning in offshore wind farms

(2016) Xiaodong Li et al.   RENEWABLE ENERGY

Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions

(2016) Zhipeng Feng et al.   RENEWABLE ENERGY

Model-based fault detection for generator cooling system in wind turbines using SCADA data

(2015) A. B. Borchersen et al.   WIND ENERGY

Raw Wind Data Preprocessing: A Data-Mining Approach

(2015) Le Zheng et al.   IEEE Transactions on Sustainable Energy

Quantifying the added value of an imperfectly performing condition monitoring system—Application to a wind turbine gearbox

(2012) Adriaan Van Horenbeek et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Kernel bandwidth optimization in spike rate estimation

(2009) Hideaki Shimazaki et al.   JOURNAL OF COMPUTATIONAL NEUROSCIENCE