Cointegration Modelling for Health and Condition Monitoring of Wind Turbines – An Overview

Cointegration Modelling for Health and Condition Monitoring of Wind Turbines – An Overview

Phong B. Dao, Wieslaw J. Staszewski

Abstract. The cointegration method has recently attracted a growing interest from scientists and engineers as a promising tool for the development of wind turbine condition monitoring systems. This paper presents a short review of cointegration-based techniques developed for condition monitoring and fault detection of wind turbines. In all reported applications, cointegration residuals are used in control charts for condition monitoring and early failure detection. This is known as the residual-based control chart approach. Vibration signals and SCADA data are typically used with cointegration in these applications. This is due to the fact that vibration-based condition monitoring is one of the most common and effective techniques (used for wind turbines); and the use of SCADA data for condition monitoring and fault detection of wind turbines has become more and more popular in recent years.

Keywords
Wind Turbine, Condition Monitoring, Fault Detection, Cointegration, Vibration, SCADA

Published online , 10 pages
Copyright © 2022 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Phong B. Dao, Wieslaw J. Staszewski, Cointegration Modelling for Health and Condition Monitoring of Wind Turbines – An Overview, Materials Research Proceedings, Vol. 20, pp 10-19, 2022

DOI: https://doi.org/10.21741/9781644901731-2

The article was published as article 2 of the book Floating Offshore Energy Devices

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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