Details
| Translated title of the contribution | Digitalization and the use of sensor data for the condition monitoring of surface protection systems of steel towers of onshore wind power structures |
|---|---|
| Original language | German |
| Pages | 528 - 541 |
| Number of pages | 14 |
| Volume | 90 |
| Issue number | 7 |
| Journal | STAHLBAU |
| Publication status | Published - 5 Jul 2021 |
Abstract
Digitalization and the use of sensor data for the condition monitoring of surface protection systems of steel towers of onshore wind power structures. The paper describes the concept of a fully data-based, mainly automated, procedure for the condition monitoring of surface protection systems on steel structures. Acquisition, processing and evaluation of relevant data as well as their implementation into a mathematical-empirical condition monitoring model are discussed. The monitoring model is based on the definition and assessment of a local deterioration degree, which is characteristic for pre-defined reference areas at the structure. The creation of the reference areas by means of In-situ Virtual Twin Computation is introduced. The data-based assessment procedure is practically exemplified on a steel tower of an onshore wind power structure in a rural corrosive environment. The procedure can be applied to steel structures with similar geometries (storage tanks, silos, chimneys) as well as to offshore conditions.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Building and Construction
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Mechanical Engineering
- Materials Science(all)
- Metals and Alloys
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In: STAHLBAU, Vol. 90, No. 7, 05.07.2021, p. 528 - 541.
Research output: Contribution to specialist publication › Contribution in non-scientific journal › Transfer
}
TY - GEN
T1 - Digitalisierung und Verarbeitung von Sensordaten für die Zustandsbewertung von Oberflächenschutzsystemen stählerner Türme von Onshore-Windenergieanlagen
AU - Momber, Andreas
AU - Nattkemper, Tim
AU - Langenkämper, Daniel
AU - Möller, Torben
AU - Brün, Daniel
AU - Schaumann, Peter
AU - Shojai, Mohammad Sulaiman
N1 - Das Projekt „Intelligente Integrative Systeme für das Monitoring von Oberflächenschutzsystemen an Offshore-Windenergiekonstruktionen“ (ISyMOO) wird vom Bundesministerium für Wirtschaft und Energie gefördert (Förderkennzeichen 0324254 A/D), wofür sich die Autoren an dieser Stelle bedanken. Des Weiteren bedanken sich die Verfasser bei Herrn Martin Schubert, Omexom Renewable Energies Offshore GmbH, Oldenburg, für die Unterstützung bei der Vermessung der Windenergieanlagen.
PY - 2021/7/5
Y1 - 2021/7/5
N2 - Digitalization and the use of sensor data for the condition monitoring of surface protection systems of steel towers of onshore wind power structures. The paper describes the concept of a fully data-based, mainly automated, procedure for the condition monitoring of surface protection systems on steel structures. Acquisition, processing and evaluation of relevant data as well as their implementation into a mathematical-empirical condition monitoring model are discussed. The monitoring model is based on the definition and assessment of a local deterioration degree, which is characteristic for pre-defined reference areas at the structure. The creation of the reference areas by means of In-situ Virtual Twin Computation is introduced. The data-based assessment procedure is practically exemplified on a steel tower of an onshore wind power structure in a rural corrosive environment. The procedure can be applied to steel structures with similar geometries (storage tanks, silos, chimneys) as well as to offshore conditions.
AB - Digitalization and the use of sensor data for the condition monitoring of surface protection systems of steel towers of onshore wind power structures. The paper describes the concept of a fully data-based, mainly automated, procedure for the condition monitoring of surface protection systems on steel structures. Acquisition, processing and evaluation of relevant data as well as their implementation into a mathematical-empirical condition monitoring model are discussed. The monitoring model is based on the definition and assessment of a local deterioration degree, which is characteristic for pre-defined reference areas at the structure. The creation of the reference areas by means of In-situ Virtual Twin Computation is introduced. The data-based assessment procedure is practically exemplified on a steel tower of an onshore wind power structure in a rural corrosive environment. The procedure can be applied to steel structures with similar geometries (storage tanks, silos, chimneys) as well as to offshore conditions.
KW - corrosion
KW - corrosion protection
KW - digitalisation
KW - digitalization
KW - maintenance
KW - masts and towers
KW - renewable energy
KW - sensors
KW - wind power
UR - http://www.scopus.com/inward/record.url?scp=85108553907&partnerID=8YFLogxK
U2 - 10.1002/stab.202100020
DO - 10.1002/stab.202100020
M3 - Beitrag in Publikumszeitung/-zeitschrift
AN - SCOPUS:85108553907
VL - 90
SP - 528
EP - 541
JO - STAHLBAU
JF - STAHLBAU
SN - 0038-9145
ER -