Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Journal topic

Journal metrics

CiteScore value: 0.6
CiteScore
0.6
h5-index value: 13
h5-index13
WES | Articles | Volume 5, issue 3
Wind Energ. Sci., 5, 1155–1167, 2020
https://doi.org/10.5194/wes-5-1155-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 5, 1155–1167, 2020
https://doi.org/10.5194/wes-5-1155-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Sep 2020

Research article | 04 Sep 2020

Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations

Emmanuel Branlard et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (03 Jul 2020)  Author's response
ED: Publish subject to technical corrections (20 Jul 2020) by Katherine Dykes
ED: Publish subject to technical corrections (21 Jul 2020) by Gerard J.W. van Bussel(Chief Editor)
AR by Emmanuel Branlard on behalf of the Authors (28 Jul 2020)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Emmanuel Branlard on behalf of the Authors (01 Sep 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (02 Sep 2020) by Katherine Dykes
Publications Copernicus
Download
Short summary
The paper presents an application of the Kalman filtering technique to estimate loads on a wind turbine. The approach combines a mechanical model and a set of measurements to estimate signals that are not available in the measurements, such as wind speed, thrust, tower position, and tower loads. The model is severalfold faster than real time and is intended to be run online, for instance, to evaluate real-time fatigue life consumption of a field turbine using a digital twin.
The paper presents an application of the Kalman filtering technique to estimate loads on a wind...
Citation