Operational Sensor Adjustment for Structural Health Monitoring Systems in Wind Turbines

The digitalization in structural engineering significantly amplified the importance of Structural Health Monitoring systems, especially in civil engineering and the renewable energy sector. Initially, after installation, a monitoring system needs to be adjusted. This paper presents three methods to adjust sensor offsets of tilt and acceleration in wind turbine towers. In the first method, we use an initiated 360-degree nacelle rotation and its unbalanced rotor weight-induced tower bending. In the second method, uniaxial operational data forms a database for a univariate regression. A third method uses a biaxial operational data set for a multivariate regression. The second and third approaches can be extended to any slender structure under environmental load. The presented workflow also allows for automated sensor orientation determination and fault detection due to long-term drift observation of sensor characteristics.

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Publication Details

Journal
Research and Review Journal of Nondestructive Testing
Published
2024-08-23
DOI
https://doi.org/10.58286/30175
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Operational Sensor Adjustment for Structural Health Monitoring Systems in Wind Turbines

Bernhard Wondra, Johannes Rupfle, Markus Nowack
Research and Review Journal of Nondestructive Testing
Structural Health Monitoring Techniques
article

Operational Sensor Adjustment for Structural Health Monitoring Systems in Wind Turbines

Bernhard Wondra, Johannes Rupfle, Markus Nowack
article en

Abstract

The digitalization in structural engineering significantly amplified the importance of Structural Health Monitoring systems, especially in civil engineering and the renewable energy sector. Initially, after installation, a monitoring system needs to be adjusted. This paper presents three methods to adjust sensor offsets of tilt and acceleration in wind turbine towers. In the first method, we use an initiated 360-degree nacelle rotation and its unbalanced rotor weight-induced tower bending. In the second method, uniaxial operational data forms a database for a univariate regression. A third method uses a biaxial operational data set for a multivariate regression. The second and third approaches can be extended to any slender structure under environmental load. The presented workflow also allows for automated sensor orientation determination and fault detection due to long-term drift observation of sensor characteristics.

Research and Review Journal of Nondestructive TestingVol. 2(1)
International Graduate School of Science and Engineering
Affordable and clean energy
Openalex Percentile: Top 85%
Structural Health Monitoring Techniques
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