A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades

Ground-based radar (GBR) are increasingly being used either as a vibration-based or as guided-wave-based structural health monitoring (SHM) sensors for monitoring of wind turbines blades. Despite various studies mentioning the use of radar as transducer for SHM, a singular exclusive review of GBR in...

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Main Authors: Ochieng, Francis Xavier, Hancock, Craig Matthew, Roberts, Gethin Wyn, Le Kernec, Julien
Format: Article
Language:English
Published: Wiley 2018
Subjects:
Online Access:https://eprints.nottingham.ac.uk/53376/
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author Ochieng, Francis Xavier
Hancock, Craig Matthew
Roberts, Gethin Wyn
Le Kernec, Julien
author_facet Ochieng, Francis Xavier
Hancock, Craig Matthew
Roberts, Gethin Wyn
Le Kernec, Julien
author_sort Ochieng, Francis Xavier
building Nottingham Research Data Repository
collection Online Access
description Ground-based radar (GBR) are increasingly being used either as a vibration-based or as guided-wave-based structural health monitoring (SHM) sensors for monitoring of wind turbines blades. Despite various studies mentioning the use of radar as transducer for SHM, a singular exclusive review of GBR in blade monitoring may have been lacking. Various studies undertaken for SHM of blades using GBR have largely been laboratory-based or with actual wind turbines in parked positions or focussed on the extraction of only specific condition parameters like frequency or deflection with no validation with actual expected operating data. The present study provides quantitative data that relates in-field monitoring of wind turbines by GBR with actual design operating data. As such it helps the monitoring of blades during design, testing, and operation. Further, it supports the determination of fatigue damage for in-field wind turbine blades especially those made of composite materials by way of condition parameters residuals and deflection. A review of the two GBR-SHM approaches is thus undertaken. Additionally, a case study demonstrating its practical use as a vibration-based noncontact SHM sensors is also provided. The study contributes to the monitoring of blades during design, testing, and operation. Further, it supports the determination of damage detection for in-field wind turbine blades within a 3-tier SHM framework especially those made of composite materials by way of condition parameter residuals of extracted modal frequencies and deflection. © 2018 John Wiley & Sons, Ltd.
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spelling nottingham-533762019-07-27T04:30:26Z https://eprints.nottingham.ac.uk/53376/ A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades Ochieng, Francis Xavier Hancock, Craig Matthew Roberts, Gethin Wyn Le Kernec, Julien Ground-based radar (GBR) are increasingly being used either as a vibration-based or as guided-wave-based structural health monitoring (SHM) sensors for monitoring of wind turbines blades. Despite various studies mentioning the use of radar as transducer for SHM, a singular exclusive review of GBR in blade monitoring may have been lacking. Various studies undertaken for SHM of blades using GBR have largely been laboratory-based or with actual wind turbines in parked positions or focussed on the extraction of only specific condition parameters like frequency or deflection with no validation with actual expected operating data. The present study provides quantitative data that relates in-field monitoring of wind turbines by GBR with actual design operating data. As such it helps the monitoring of blades during design, testing, and operation. Further, it supports the determination of fatigue damage for in-field wind turbine blades especially those made of composite materials by way of condition parameters residuals and deflection. A review of the two GBR-SHM approaches is thus undertaken. Additionally, a case study demonstrating its practical use as a vibration-based noncontact SHM sensors is also provided. The study contributes to the monitoring of blades during design, testing, and operation. Further, it supports the determination of damage detection for in-field wind turbine blades within a 3-tier SHM framework especially those made of composite materials by way of condition parameter residuals of extracted modal frequencies and deflection. © 2018 John Wiley & Sons, Ltd. Wiley 2018-07-27 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/53376/1/GBR-UNNC-review-paper-post-review-22082018.pdf Ochieng, Francis Xavier, Hancock, Craig Matthew, Roberts, Gethin Wyn and Le Kernec, Julien (2018) A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades. Wind Energy . ISSN 1099-1824 blade; deflection; Doppler; frequency; monitoring; radar; unbalanced; wind http://dx.doi.org/10.1002/we.2252 doi:10.1002/we.2252 doi:10.1002/we.2252
spellingShingle blade; deflection; Doppler; frequency; monitoring; radar; unbalanced; wind
Ochieng, Francis Xavier
Hancock, Craig Matthew
Roberts, Gethin Wyn
Le Kernec, Julien
A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades
title A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades
title_full A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades
title_fullStr A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades
title_full_unstemmed A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades
title_short A review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades
title_sort review of ground-based radar as a noncontact sensor for structural health monitoring of in-field wind turbines blades
topic blade; deflection; Doppler; frequency; monitoring; radar; unbalanced; wind
url https://eprints.nottingham.ac.uk/53376/
https://eprints.nottingham.ac.uk/53376/
https://eprints.nottingham.ac.uk/53376/