Monitoring Damage Progression in Wind Turbine Blade Under Fatigue Testing Using Acceleration Measurements

Pamela Rossi; André Tavares; Emilio Di Lorenzo; Bram Cornelis; Marcin Luczak; Kim Branner; Konstantinos Gryllias; Giuliano Coppotelli

doi:10.1007/978-3-031-61425-5_59

Monitoring Damage Progression in Wind Turbine Blade Under Fatigue Testing Using Acceleration Measurements

Pamela Rossi, André Tavares, Emilio Di Lorenzo, Bram Cornelis, Marcin Luczak, Kim Branner, Konstantinos Gryllias, Giuliano Coppotelli

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Wind energy presently meets 15% of the EU’s electricity demand, playing a crucial role in Europe’s initiatives to reduce carbon emissions. This research centers on Structural Health Monitoring (SHM) during fatigue testing to ensure the safety and reliability of wind turbines, specifically focusing on their extensive fiber-reinforced composite blades. Fatigue testing entails exposing wind turbine blades to repetitive cyclic loading, replicating real-world conditions to evaluate durability and study the progression of damage. The primary objective is to analyze accelerometer data from these tests to derive damage indices that reflect the blade’s condition. This work employs two signal processing techniques, namely cross-correlations and Operational Deflection Shapes (ODS), to derive damage sensitive features that can change due to damage progression. These monitoring techniques are applied on an experimental dataset, measured for a 14.3 m composite blade with known defects introduced during manufacturing, propagating throughout the fatigue testing process.

Original language	English
Title of host publication	Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024)
Editors	Carlo Rainieri, Carmelo Gentile, Manuel Aenlle López
Volume	2
Place of Publication	Cham
Publisher	Springer
Publication date	2024
Pages	615-626
ISBN (Print)	978-3-031-61424-8, 978-3-031-61427-9
ISBN (Electronic)	978-3-031-61425-5
DOIs	https://doi.org/10.1007/978-3-031-61425-5_59
Publication status	Published - 2024
Event	10th International Operational Modal Analysis Conference - Naples, Italy Duration: 22 May 2024 → 24 May 2024

Conference

Conference	10th International Operational Modal Analysis Conference
Country/Territory	Italy
City	Naples
Period	22/05/2024 → 24/05/2024

Series	Lecture Notes in Civil Engineering
ISSN	2366-2557

Keywords

Wind turbine blade
Fatigue testing
Structural health monitoring (SHM)
Signal processing
Accelerometers

Access to Document

10.1007/978-3-031-61425-5_59

OpenUrl availability

Full text

Cite this

Rossi, P., Tavares, A., Di Lorenzo, E., Cornelis, B., Luczak, M., Branner, K., Gryllias, K., & Coppotelli, G. (2024). Monitoring Damage Progression in Wind Turbine Blade Under Fatigue Testing Using Acceleration Measurements. In C. Rainieri, C. Gentile, & M. A. López (Eds.), Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024) (Vol. 2, pp. 615-626). Springer. https://doi.org/10.1007/978-3-031-61425-5_59

Rossi, Pamela ; Tavares, André ; Di Lorenzo, Emilio et al. / Monitoring Damage Progression in Wind Turbine Blade Under Fatigue Testing Using Acceleration Measurements. Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024). editor / Carlo Rainieri ; Carmelo Gentile ; Manuel Aenlle López. Vol. 2 Cham : Springer, 2024. pp. 615-626 (Lecture Notes in Civil Engineering).

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abstract = "Wind energy presently meets 15\% of the EU{\textquoteright}s electricity demand, playing a crucial role in Europe{\textquoteright}s initiatives to reduce carbon emissions. This research centers on Structural Health Monitoring (SHM) during fatigue testing to ensure the safety and reliability of wind turbines, specifically focusing on their extensive fiber-reinforced composite blades. Fatigue testing entails exposing wind turbine blades to repetitive cyclic loading, replicating real-world conditions to evaluate durability and study the progression of damage. The primary objective is to analyze accelerometer data from these tests to derive damage indices that reflect the blade{\textquoteright}s condition. This work employs two signal processing techniques, namely cross-correlations and Operational Deflection Shapes (ODS), to derive damage sensitive features that can change due to damage progression. These monitoring techniques are applied on an experimental dataset, measured for a 14.3 m composite blade with known defects introduced during manufacturing, propagating throughout the fatigue testing process.",

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Rossi, P, Tavares, A, Di Lorenzo, E, Cornelis, B, Luczak, M, Branner, K, Gryllias, K & Coppotelli, G 2024, Monitoring Damage Progression in Wind Turbine Blade Under Fatigue Testing Using Acceleration Measurements. in C Rainieri, C Gentile & MA López (eds), Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024). vol. 2, Springer, Cham, Lecture Notes in Civil Engineering, pp. 615-626, 10th International Operational Modal Analysis Conference, Naples, Italy, 22/05/2024. https://doi.org/10.1007/978-3-031-61425-5_59

Monitoring Damage Progression in Wind Turbine Blade Under Fatigue Testing Using Acceleration Measurements. / Rossi, Pamela; Tavares, André; Di Lorenzo, Emilio et al.
Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024). ed. / Carlo Rainieri; Carmelo Gentile; Manuel Aenlle López. Vol. 2 Cham: Springer, 2024. p. 615-626 (Lecture Notes in Civil Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Rossi, Pamela

AU - Tavares, André

AU - Di Lorenzo, Emilio

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AU - Luczak, Marcin

AU - Branner, Kim

AU - Gryllias, Konstantinos

AU - Coppotelli, Giuliano

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AB - Wind energy presently meets 15% of the EU’s electricity demand, playing a crucial role in Europe’s initiatives to reduce carbon emissions. This research centers on Structural Health Monitoring (SHM) during fatigue testing to ensure the safety and reliability of wind turbines, specifically focusing on their extensive fiber-reinforced composite blades. Fatigue testing entails exposing wind turbine blades to repetitive cyclic loading, replicating real-world conditions to evaluate durability and study the progression of damage. The primary objective is to analyze accelerometer data from these tests to derive damage indices that reflect the blade’s condition. This work employs two signal processing techniques, namely cross-correlations and Operational Deflection Shapes (ODS), to derive damage sensitive features that can change due to damage progression. These monitoring techniques are applied on an experimental dataset, measured for a 14.3 m composite blade with known defects introduced during manufacturing, propagating throughout the fatigue testing process.

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Rossi P, Tavares A, Di Lorenzo E, Cornelis B, Luczak M, Branner K et al. Monitoring Damage Progression in Wind Turbine Blade Under Fatigue Testing Using Acceleration Measurements. In Rainieri C, Gentile C, López MA, editors, Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024). Vol. 2. Cham: Springer. 2024. p. 615-626. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-031-61425-5_59