Using MEMS Acceleration Sensors for Monitoring Blade Tip Movement of Wind Turbines

Theresa Loss, Oliver Gerler, Alexander Bergmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Monitoring blade tip movement of wind turbines is highly relevant for identifying imbalances and increased alternating loads. As sensor placement at blade tips is generally challenging, a light-weight low-profile MEMS acceleration sensor is used in this paper. A simulation of acceleration signals under wind effects such as wind shear, yaw and tower shadow was used to extract significant features, which were then applied to real world data. The dimensions of features in the simulation as well as in real world data were in alignment which proves the concept of the simulation, together with features found to correlate with the turbine's frequency. Findings strongly indicate that the approach is very promising for monitoring blade tip movement and identifying alternating loads.

Original languageEnglish
Title of host publication2018 IEEE SENSORS, SENSORS 2018 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Volume2018-October
ISBN (Electronic)9781538647073
DOIs
Publication statusPublished - 26 Dec 2018
Event17th IEEE SENSORS Conference, SENSORS 2018 - New Delhi, India
Duration: 28 Oct 201831 Oct 2018

Conference

Conference17th IEEE SENSORS Conference, SENSORS 2018
CountryIndia
CityNew Delhi
Period28/10/1831/10/18

Keywords

  • accelerometers
  • blade tip
  • condition monitoring
  • wind energy
  • wireless sensors

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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