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Nonlinear Cointegration Approach for Condition Monitoring of Wind Turbines
Joint Authors
Staszewski, W. J.
Zolna, Konrad
Dao, Phong B.
Barszcz, Tomasz
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-08
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Monitoring of trends and removal of undesired trends from operational/process parameters in wind turbines is important for their condition monitoring.
This paper presents the homoscedastic nonlinear cointegration for the solution to this problem.
The cointegration approach used leads to stable variances in cointegration residuals.
The adapted Breusch-Pagan test procedure is developed to test for the presence of heteroscedasticity in cointegration residuals obtained from the nonlinear cointegration analysis.
Examples using three different time series data sets—that is, one with a nonlinear quadratic deterministic trend, another with a nonlinear exponential deterministic trend, and experimental data from a wind turbine drivetrain—are used to illustrate the method and demonstrate possible practical applications.
The results show that the proposed approach can be used for effective removal of nonlinear trends form various types of data, allowing for possible condition monitoring applications.
American Psychological Association (APA)
Zolna, Konrad& Dao, Phong B.& Staszewski, W. J.& Barszcz, Tomasz. 2015. Nonlinear Cointegration Approach for Condition Monitoring of Wind Turbines. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1075236
Modern Language Association (MLA)
Zolna, Konrad…[et al.]. Nonlinear Cointegration Approach for Condition Monitoring of Wind Turbines. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1075236
American Medical Association (AMA)
Zolna, Konrad& Dao, Phong B.& Staszewski, W. J.& Barszcz, Tomasz. Nonlinear Cointegration Approach for Condition Monitoring of Wind Turbines. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1075236
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075236