Automatic classification of wind turbine structural faults using Doppler radar: Proof of concept study

Manuel Crespo, Michail Antoniou

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

3 Citations (Scopus)


This paper explores the possibility in using radar to automatically classify wind turbine faults. As a first step, a number of experiments were conducted in an anechoic chamber with a small wind turbine were different faults were artificially induced. Two basic clustering methods were used. One was based on using different statistical parameters of the corresponding time-domain signatures. The other used Principal Components Analysis (PCA) on the corresponding frequency-domain signatures. Subsequently, a K-NN algorithm was used as the classifier to investigate whether or not automatic classification is fundamentally possible and to provide an initial comparison between the two clustering methods which rely on different signal domains. The proof of concept results presented in the paper indicate that this may indeed be plausible, to encourage further development of this idea.

Original languageEnglish
Title of host publication2015 IEEE Radar Conference
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)978-1-4799-8232-5
Publication statusPublished - 22 Jun 2015
EventIEEE International Radar Conference 2015 - Washington, DC, United States
Duration: 15 May 2015 → …


ConferenceIEEE International Radar Conference 2015
Country/TerritoryUnited States
CityWashington, DC
Period15/05/15 → …

Bibliographical note

Author Crespo-Ballesteros recorded on internal system as Crespo


  • Doppler radar
  • radar target classification
  • structural health monitoring
  • wind turbines

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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