Fault detection of wind turbine gearbox using thermal network modelling and SCADA data

[1]  Nadège Bouchonneau,et al.  A review of wind turbine bearing condition monitoring: State of the art and challenges , 2016 .

[2]  Mengyan Nie,et al.  Review of condition monitoring and fault diagnosis technologies for wind turbine gearbox , 2013 .

[3]  Meik Schlechtingen,et al.  Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection , 2011 .

[4]  Pramod Bangalore,et al.  An artificial neural network‐based condition monitoring method for wind turbines, with application to the monitoring of the gearbox , 2017 .

[5]  Yingning Qiu,et al.  Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data , 2016 .

[6]  Simon J. Watson,et al.  Using SCADA data for wind turbine condition monitoring – a review , 2017 .

[7]  David Infield,et al.  Online wind turbine fault detection through automated SCADA data analysis , 2009 .

[8]  Wei Qiao,et al.  Fault Diagnosis of Wind Turbine Gearboxes Based on DFIG Stator Current Envelope Analysis , 2019, IEEE Transactions on Sustainable Energy.

[9]  Shuangwen Sheng,et al.  Monitoring of Wind Turbine Gearbox Condition through Oil and Wear Debris Analysis: A Full-Scale Testing Perspective , 2016 .

[10]  Simon J. Watson,et al.  Physics of Failure approach to wind turbine condition based maintenance , 2009 .

[11]  Anas Sakout,et al.  Gearbox condition monitoring in wind turbines: A review , 2018, Mechanical Systems and Signal Processing.

[12]  Emilio Gómez-Lázaro,et al.  Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train , 2018 .

[13]  Kesheng Wang,et al.  Wind turbine fault detection based on SCADA data analysis using ANN , 2014 .

[14]  M. Papaelias,et al.  Wind turbine gearboxes: Failures, surface treatments and condition monitoring , 2020 .

[15]  Fabrice Ville,et al.  On the use of temperature for online condition monitoring of geared systems - A review , 2018 .