Articles | Volume 7, issue 1
https://doi.org/10.5194/wes-7-161-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-161-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
24 Jan 2022
Review article |
| 24 Jan 2022
| 24 Jan 2022
Damping identification of offshore wind turbines using operational modal analysis: a review
Aemilius A. W. van Vondelen
Delft Center for Systems and Control, Delft University of Technology, 2628CN Delft, the Netherlands
Sachin T. Navalkar
CORRESPONDING AUTHOR
Siemens Gamesa Renewable Energy, Prinses Beatrixlaan 800, 2595BN The Hague, the Netherlands
Alexandros Iliopoulos
Siemens Gamesa Renewable Energy, Prinses Beatrixlaan 800, 2595BN The Hague, the Netherlands
Daan C. van der Hoek
Delft Center for Systems and Control, Delft University of Technology, 2628CN Delft, the Netherlands
Jan-Willem van Wingerden
Delft Center for Systems and Control, Delft University of Technology, 2628CN Delft, the Netherlands
Viewed
Total article views: 4,255 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jul 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,909 | 1,270 | 76 | 4,255 | 80 | 68 |
- HTML: 2,909
- PDF: 1,270
- XML: 76
- Total: 4,255
- BibTeX: 80
- EndNote: 68
Total article views: 3,301 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,425 | 816 | 60 | 3,301 | 69 | 58 |
- HTML: 2,425
- PDF: 816
- XML: 60
- Total: 3,301
- BibTeX: 69
- EndNote: 58
Total article views: 954 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 12 Jul 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 484 | 454 | 16 | 954 | 11 | 10 |
- HTML: 484
- PDF: 454
- XML: 16
- Total: 954
- BibTeX: 11
- EndNote: 10
Viewed (geographical distribution)
Total article views: 4,255 (including HTML, PDF, and XML)
Thereof 4,072 with geography defined
and 183 with unknown origin.
Total article views: 3,301 (including HTML, PDF, and XML)
Thereof 3,153 with geography defined
and 148 with unknown origin.
Total article views: 954 (including HTML, PDF, and XML)
Thereof 919 with geography defined
and 35 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
17 citations as recorded by crossref.
- Wind Turbines for Decarbonization and Energy Transition of Buildings and Urban Areas: A Review K. Ismail et al. 10.21926/aeer.2501013
- Modal Parameter Identification of Jacket-Type Offshore Wind Turbines Under Operating Conditions C. Zhang et al. 10.3390/jmse12112083
- Operational modal damping identification based on compressive sensing J. Zhou et al. 10.1007/s13349-025-00931-z
- Structural dynamics of offshore Wind Turbines: A review K. Jahani et al. 10.1016/j.oceaneng.2022.111136
- On the performance of the helix wind farm control approach in the conventionally neutral atmospheric boundary layer E. Taschner et al. 10.1088/1742-6596/2505/1/012006
- Instantaneous amplitude and phase signal modeling for harmonic removal in wind turbines M. Zivanovic et al. 10.1016/j.ymssp.2023.110095
- Modal analysis of an operational offshore wind turbine using enhanced Kalman filter‐based subspace identification A. van Vondelen et al. 10.1002/we.2849
- Towards minimal empirical uncertainty bounds of damping estimates of an offshore wind turbine in idling conditions J. Kjeld et al. 10.1016/j.ymssp.2023.110180
- Effect of wind and wave properties in modal parameter estimates of an idling offshore wind turbine from long-term monitoring data J. Kjeld et al. 10.1016/j.ymssp.2022.109934
- Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search H. Qiao et al. 10.3390/jmse11071329
- Identification of operational deflection shapes of a wind turbine gearbox using fiber-optic strain sensors on a serial production end-of-line test bench U. Gutierrez Santiago et al. 10.5194/wes-10-207-2025
- Structural Modal Calibration of Historical Masonry Arch Bridge by Using a Novel Deep Neural Network Approach E. Alpaslan et al. 10.1007/s40996-023-01300-w
- State-of-the-Art Review of Vortex-Induced Motions of Floating Offshore Wind Turbine Structures D. Yin et al. 10.3390/jmse10081021
- Chromaticity Recognition Technology of Colored Noise and Operational Modal Analysis X. Lu et al. 10.3390/app14188530
- Instantaneous amplitude and phase signal modeling for harmonic removal in wind turbines M. Zivanovic et al. 10.1016/j.ymssp.2023.110095
- A Frequency Domain Fitting Algorithm Method for Automotive Suspension Structure under Colored Noise X. Lu et al. 10.3390/wevj15090410
- Damping identification of offshore wind turbines using operational modal analysis: a review A. van Vondelen et al. 10.5194/wes-7-161-2022
12 citations as recorded by crossref.
- Wind Turbines for Decarbonization and Energy Transition of Buildings and Urban Areas: A Review K. Ismail et al. 10.21926/aeer.2501013
- Modal Parameter Identification of Jacket-Type Offshore Wind Turbines Under Operating Conditions C. Zhang et al. 10.3390/jmse12112083
- Operational modal damping identification based on compressive sensing J. Zhou et al. 10.1007/s13349-025-00931-z
- Structural dynamics of offshore Wind Turbines: A review K. Jahani et al. 10.1016/j.oceaneng.2022.111136
- On the performance of the helix wind farm control approach in the conventionally neutral atmospheric boundary layer E. Taschner et al. 10.1088/1742-6596/2505/1/012006
- Instantaneous amplitude and phase signal modeling for harmonic removal in wind turbines M. Zivanovic et al. 10.1016/j.ymssp.2023.110095
- Modal analysis of an operational offshore wind turbine using enhanced Kalman filter‐based subspace identification A. van Vondelen et al. 10.1002/we.2849
- Towards minimal empirical uncertainty bounds of damping estimates of an offshore wind turbine in idling conditions J. Kjeld et al. 10.1016/j.ymssp.2023.110180
- Effect of wind and wave properties in modal parameter estimates of an idling offshore wind turbine from long-term monitoring data J. Kjeld et al. 10.1016/j.ymssp.2022.109934
- Inverse Evaluation of Monopile Pile–Soil Interaction Parameters Using Random Search H. Qiao et al. 10.3390/jmse11071329
- Identification of operational deflection shapes of a wind turbine gearbox using fiber-optic strain sensors on a serial production end-of-line test bench U. Gutierrez Santiago et al. 10.5194/wes-10-207-2025
- Structural Modal Calibration of Historical Masonry Arch Bridge by Using a Novel Deep Neural Network Approach E. Alpaslan et al. 10.1007/s40996-023-01300-w
5 citations as recorded by crossref.
- State-of-the-Art Review of Vortex-Induced Motions of Floating Offshore Wind Turbine Structures D. Yin et al. 10.3390/jmse10081021
- Chromaticity Recognition Technology of Colored Noise and Operational Modal Analysis X. Lu et al. 10.3390/app14188530
- Instantaneous amplitude and phase signal modeling for harmonic removal in wind turbines M. Zivanovic et al. 10.1016/j.ymssp.2023.110095
- A Frequency Domain Fitting Algorithm Method for Automotive Suspension Structure under Colored Noise X. Lu et al. 10.3390/wevj15090410
- Damping identification of offshore wind turbines using operational modal analysis: a review A. van Vondelen et al. 10.5194/wes-7-161-2022
Latest update: 30 Jun 2025
Short summary
The damping of an offshore wind turbine is a difficult physical quantity to predict, although it plays a major role in a cost-effective turbine design. This paper presents a review of all approaches that can be used for damping estimation directly from operational wind turbine data. As each use case is different, a novel suitability table is presented to enable the user to choose the most appropriate approach for the given availability and characteristics of measurement data.
The damping of an offshore wind turbine is a difficult physical quantity to predict, although it...
Altmetrics
Final-revised paper
Preprint