Preprints
https://doi.org/10.5194/wes-2023-123
https://doi.org/10.5194/wes-2023-123
02 Nov 2023
 | 02 Nov 2023
Status: a revised version of this preprint is currently under review for the journal WES.

Dynamic displacement measurement of a wind turbine tower using accelerometers: tilt error compensation and validation

Clemens Jonscher, Paula Helming, David Märtins, Andreas Fischer, David Bonilla, Benedikt Hofmeister, Tanja Grießmann, and Raimund Rolfes

Abstract. For vibration-based structural health monitoring (SHM) of wind turbine support structures, accelerometers are often used. Besides the structural acceleration, the measured quantity also contains the acceleration component due to gravity, which is known as tilt error. This tilt error must be quantified and taken into account, otherwise it can lead to incorrect evaluations, especially in the fatigue estimation or the dynamic displacement estimation using accelerometers. The standard solution is to explicitly measure the tilt angle, which requires an additional sensor for each measurement point and is not applicable for already recorded measurements without tilt information. Therefore, a novel tilt error compensation method is presented by using the static bending line. As a result the influence of the tilt error can be estimated in advance and no additional sensors for tilt measurement are needed. The compensation method is applied to accelerometer measurements of an onshore wind turbine tower and validated with contactless absolute distance measurements from a terrestrial laser scanning (TLS) system. The position and frequency-dependent tilt error of the investigated tower has a significant influence on the quasi static motion below 0.2 Hz with a minimum amplitude error of 9 %, whereas the normalised bending mode shapes around 0.3Hz are only slightly affected.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Clemens Jonscher, Paula Helming, David Märtins, Andreas Fischer, David Bonilla, Benedikt Hofmeister, Tanja Grießmann, and Raimund Rolfes

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-123', Anonymous Referee #1, 02 Feb 2024
    • AC1: 'Reply on RC1', Clemens Jonscher, 16 Feb 2024
  • RC2: 'Comment on wes-2023-123', Anonymous Referee #2, 12 Feb 2024
    • AC1: 'Reply on RC1', Clemens Jonscher, 16 Feb 2024
Clemens Jonscher, Paula Helming, David Märtins, Andreas Fischer, David Bonilla, Benedikt Hofmeister, Tanja Grießmann, and Raimund Rolfes
Clemens Jonscher, Paula Helming, David Märtins, Andreas Fischer, David Bonilla, Benedikt Hofmeister, Tanja Grießmann, and Raimund Rolfes

Viewed

Total article views: 554 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
439 95 20 554 18 14
  • HTML: 439
  • PDF: 95
  • XML: 20
  • Total: 554
  • BibTeX: 18
  • EndNote: 14
Views and downloads (calculated since 02 Nov 2023)
Cumulative views and downloads (calculated since 02 Nov 2023)

Viewed (geographical distribution)

Total article views: 540 (including HTML, PDF, and XML) Thereof 540 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 May 2024
Download
Short summary
This study investigates dynamic displacement estimation using double time integrated acceleration signals for future application in load monitoring based on accelerometers. To estimate displacements without amplitude distortion, a tilt error compensation method for low frequency vibrations of tower structures using the static bending line without the need for additional sensors is presented. The method is validated using a full-scale onshore wind turbine tower and a terrestrial laser scanner.
Altmetrics