Condition monitoring of wind turbines based on cointegration analysis of gearbox and generator temperature data
1
AGH University of Science and Technology
Submission date: 2017-09-27
Final revision date: 2017-12-14
Acceptance date: 2017-12-19
Online publication date: 2017-12-18
Publication date: 2018-03-12
Corresponding author
Diagnostyka 2018;19(1):63–71
KEYWORDS
TOPICS
ABSTRACT
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.
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