Condition monitoring of wind turbines based on cointegration analysis of gearbox and generator temperature data
Phong Ba Dao 1  
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AGH University of Science and Technology
Online publish date: 2017-12-18
Publish date: 2018-03-12
Submission date: 2017-09-27
Final revision date: 2017-12-14
Acceptance date: 2017-12-19
Diagnostyka 2018;19(1):63–71
This paper presents a cointegration-based method for condition monitoring of wind turbines. Analysis of cointegration residuals – obtained from cointegration process of wind turbine data – is used for operational condition monitoring and fault detection. The method has been employed for on-line condition monitoring of a wind turbine drivetrain with a nominal power of 2 MW under varying environmental and operational conditions using only the temperature data of gearbox bearing and generator winding, which were collected by the Supervisory Control And Data Acquisition (SCADA) system. The results show that the proposed method can effectively monitor the wind turbine and reliably detect the gearbox fault.
Phong Ba Dao   
AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, Polska
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