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

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

Authors

Colleges, School and Institutes

Abstract

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.

Bibliographic note

Author Crespo-Ballesteros recorded on internal system as Crespo

Details

Original languageEnglish
Title of host publication2015 IEEE Radar Conference
Publication statusPublished - 22 Jun 2015
EventIEEE International Radar Conference 2015 - Washington, DC, United States
Duration: 15 May 2015 → …

Conference

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

Keywords

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

ASJC Scopus subject areas