Moving accelerometers to the tip: Monitoring of wind turbine blade bending using 3d accelerometers and model-based bending shapes

Theresa Loss*, Alexander Bergmann

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Increasing the length of wind turbine blades for maximum energy capture leads to larger loads and forces acting on the blades. In particular, alternate bending due to gravity or nonuniform wind profiles leads to increased loads and imminent fatigue. Therefore, blade monitoring in operation is needed to optimise turbine settings and, consequently, to reduce alternate bending. In our approach, an acceleration model was used to analyse periodically occurring deviations from uniform bending. By using hierarchical clustering, significant bending patterns could be extracted and patterns were analysed with regard to reference data. In a simulation of alternate bending effects, various effects were successfully represented by different bending patterns. A real data experiment with accelerometers mounted at the blade tip of turbine blades demonstrated a clear relation between the rotation frequency and the resulting bending patterns. Additionally, the markedness of bending shapes could be used to assess the amount of alternate bending of the blade in both simulations and experiment.s The results demonstrate that model-based bending shapes provide a strong indication for alternate bending and, consequently, can be used to optimise turbine settings.

Original languageEnglish
Article number5337
Pages (from-to)1-21
Number of pages21
JournalSensors (Switzerland)
Volume20
Issue number18
DOIs
Publication statusPublished - 2 Sep 2020

Keywords

  • Accelerometers
  • Blade bending
  • Condition monitoring
  • Wind energy

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Moving accelerometers to the tip: Monitoring of wind turbine blade bending using 3d accelerometers and model-based bending shapes'. Together they form a unique fingerprint.

Cite this