the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
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.
- Preprint
(2179 KB) - Metadata XML
- BibTeX
- EndNote
Clemens Jonscher et al.
Status: open (until 07 Dec 2023)
Clemens Jonscher et al.
Clemens Jonscher et al.
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
123 | 24 | 3 | 150 | 1 | 1 |
- HTML: 123
- PDF: 24
- XML: 3
- Total: 150
- BibTeX: 1
- EndNote: 1
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1