A step forward towards radar sensor networks for structural health monitoring of wind turbines

J. M. Munoz-Ferreras, Z. Peng, Y. Tang, R. Gomez-Garcia, D. Liang, C. Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Structural health monitoring (SHM) of wind turbines can be carried out through inexpensive noncontact radar systems. This paper reports the first steps for the proper deployment of a network of radar sensors around the wind turbine, which may provide useful information to reliably detect possible defects or malfunctioning. In particular, the echo features for a 50-m-height wind turbine when illuminated by a 24-GHz Doppler radar from different near positions are carefully studied and evaluated in a simulated scenario. The performed simulations are in close agreement with the experimental results obtained through a 24-GHz radar gun. As main conclusions, this analysis reveals the convenience of employing high-frequency radar systems for the sensor network and situating the radars on the ground.

Original languageEnglish
Title of host publicationRWS 2016 - Proceedings of the 2016 IEEE Radio and Wireless Symposium
PublisherIEEE Computer Society
Pages23-25
Number of pages3
ISBN (Electronic)9781467398053
DOIs
StatePublished - Mar 30 2016
EventIEEE Radio and Wireless Symposium, RWS 2016 - Austin, United States
Duration: Jan 24 2016Jan 27 2016

Publication series

NameIEEE Radio and Wireless Symposium, RWS
Volume2016-March
ISSN (Print)2164-2958
ISSN (Electronic)2164-2974

Conference

ConferenceIEEE Radio and Wireless Symposium, RWS 2016
Country/TerritoryUnited States
CityAustin
Period01/24/1601/27/16

Keywords

  • Doppler radars
  • Wind turbine
  • remote sensing
  • spectrogram
  • structural health monitoring (SHM)

Fingerprint

Dive into the research topics of 'A step forward towards radar sensor networks for structural health monitoring of wind turbines'. Together they form a unique fingerprint.

Cite this