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

Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data

(2016) Yingning Qiu et al.   IET Renewable Power Generation

An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings

(2015) Pramod Bangalore et al.   IEEE Transactions on Smart Grid

Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 2: Application examples

(2013) Meik Schlechtingen et al.   APPLIED SOFT COMPUTING

Wind turbine condition monitoring by the approach of SCADA data analysis

(2013) Wenxian Yang et al.   RENEWABLE ENERGY

Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description

(2012) Meik Schlechtingen et al.   APPLIED SOFT COMPUTING

Analyzing bearing faults in wind turbines: A data-mining approach

(2012) Andrew Kusiak et al.   RENEWABLE ENERGY

Monitoring wind turbine gearboxes

(2012) Yanhui Feng et al.   WIND ENERGY

Monitoring Wind Farms With Performance Curves

(2012) Andrew Kusiak et al.   IEEE Transactions on Sustainable Energy

Wind turbine SCADA alarm analysis for improving reliability

(2011) Yingning Qiu et al.   WIND ENERGY

Wind Turbine Condition Assessment Through Power Curve Copula Modeling

(2011) Simon Gill et al.   IEEE Transactions on Sustainable Energy

A wavelet approach to fault diagnosis of a gearbox under varying load conditions

(2009) Xiyang Wang et al.   JOURNAL OF SOUND AND VIBRATION

Online wind turbine fault detection through automated SCADA data analysis

(2009) A. Zaher et al.   WIND ENERGY