Wire Break Detection in Hybrid Towers of Wind Turbines: A Novel Application to Monitor Tendons Using Acoustic Emission Analysis

The growing significance of wind energy in supplying renewable electricity underlines the increasing importance of wind turbine efficiency. Hybrid towers, integrating steel and pre-stressed concrete in a stacked structure, address traditional limitations in nacelle height but face new vulnerabilities, exemplified by a collapse in September 2021. This highlights the crucial need for continuous monitoring, particularly of the tower structure’s tendons. This study introduces acoustic emission monitoring as a novel approach for the early detection of wire breaks within the highly stressed tendons of hybrid towers. The investigations described focus on evaluating the suitability of this method for the specific use case and developing a generalized monitoring approach. Accordingly, background noise in an operating wind turbine tower was recorded and analyzed over a year-long operational period. Correlation analyses of these data unveiled intricate relationships between operational parameters and noise levels, with wind speed, rotor speed, and blade pitch angle exerting influence. Laboratory experiments were conducted on a full-scale specimen, and wire breaks were artificially provoked to characterize the damage signal and assess its attenuation in relevant structural components. The experimental results were integrated into a stochastic model to determine feasible sensor distances, aiming for a 90% probability of detection at a 95% confidence level. Low attenuation along the tendon was identified, enabling reliable detection over significant distances. Nevertheless, practical considerations suggest a focus on tendon anchorages, with the potential for grouped monitoring in specific areas to optimize sensor deployment. The study proposes a sensor network configuration to enhance the safety and reliability of wind turbine structures.

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Publication Details

Journal
Applied Sciences
Published
2025-02-18
DOI
https://doi.org/10.3390/app15042164
Citations
1
Primary Topic
Vibration and Dynamic Analysis
Type
article
Field-Weighted Citation Impact
1.21
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article

Wire Break Detection in Hybrid Towers of Wind Turbines: A Novel Application to Monitor Tendons Using Acoustic Emission Analysis

Ronghua Xu, Max Käding, Steffen Marx, Alexander Lange et al.
1 citations
Applied Sciences
Vibration and Dynamic Analysis
1.21
article

Wire Break Detection in Hybrid Towers of Wind Turbines: A Novel Application to Monitor Tendons Using Acoustic Emission Analysis

Ronghua Xu, Max Käding, Steffen Marx, Alexander Lange, Thorsten Betz, Jörn Östermann
article en
1 citations

Abstract

The growing significance of wind energy in supplying renewable electricity underlines the increasing importance of wind turbine efficiency. Hybrid towers, integrating steel and pre-stressed concrete in a stacked structure, address traditional limitations in nacelle height but face new vulnerabilities, exemplified by a collapse in September 2021. This highlights the crucial need for continuous monitoring, particularly of the tower structure’s tendons. This study introduces acoustic emission monitoring as a novel approach for the early detection of wire breaks within the highly stressed tendons of hybrid towers. The investigations described focus on evaluating the suitability of this method for the specific use case and developing a generalized monitoring approach. Accordingly, background noise in an operating wind turbine tower was recorded and analyzed over a year-long operational period. Correlation analyses of these data unveiled intricate relationships between operational parameters and noise levels, with wind speed, rotor speed, and blade pitch angle exerting influence. Laboratory experiments were conducted on a full-scale specimen, and wire breaks were artificially provoked to characterize the damage signal and assess its attenuation in relevant structural components. The experimental results were integrated into a stochastic model to determine feasible sensor distances, aiming for a 90% probability of detection at a 95% confidence level. Low attenuation along the tendon was identified, enabling reliable detection over significant distances. Nevertheless, practical considerations suggest a focus on tendon anchorages, with the potential for grouped monitoring in specific areas to optimize sensor deployment. The study proposes a sensor network configuration to enhance the safety and reliability of wind turbine structures.

Applied SciencesVol. 15(4)
Leibniz University Hannover (DE), Institut für Informationsverarbeitung (DE), Bionorica (Germany) (DE), Technische Universität Dresden (DE)
Openalex Percentile: Top 25%
Vibration and Dynamic Analysis
1.21
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