3D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTION

The expansion of off-/onshore wind farms plays a key role in the transformation of energy production from burning of fossil fuels and nuclear energy to sustainable and safe power generation. However, the wind energy sector is permanently under strong cost pressure and the maintenance of the turbines...

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Main Authors: T. Möller, D. Brün, D. Langenkämper, R. van Kevelaer, T. W. Nattkemper
Format: Article
Language:English
Published: Copernicus Publications 2020-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/1121/2020/isprs-archives-XLIII-B2-2020-1121-2020.pdf
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author T. Möller
D. Brün
D. Langenkämper
R. van Kevelaer
T. W. Nattkemper
author_facet T. Möller
D. Brün
D. Langenkämper
R. van Kevelaer
T. W. Nattkemper
author_sort T. Möller
collection DOAJ
description The expansion of off-/onshore wind farms plays a key role in the transformation of energy production from burning of fossil fuels and nuclear energy to sustainable and safe power generation. However, the wind energy sector is permanently under strong cost pressure and the maintenance of the turbines is currently still carried out quite expensively with human industrial climbers. In this article, we present the results of an interdisciplinary research project on the automation of various image-based inspection steps. Since the use of unmanned aerial vehicles (UAV) is a problem especially offshore, we present here a simple, cost-effective method to obtain a three-dimensional model of a wind energy plant using solely a digital camera equipped with a sensor array to use it for the detection and management of damages and abnormalities. A first approach to detect abnormalities on the surface with deep learning methods achieved an F1-score of about 95%.
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spelling doaj.art-8bb7322360ad479a8ec1af3d38925e852022-12-21T22:44:57ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B2-20201121112710.5194/isprs-archives-XLIII-B2-2020-1121-20203D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTIONT. Möller0D. Brün1D. Langenkämper2R. van Kevelaer3T. W. Nattkemper4Bielefeld University, Bielefed, Germanysaltation GmbH & Co. KG, Bielefeld, GermanyBielefeld University, Bielefed, GermanyBielefeld University, Bielefed, GermanyBielefeld University, Bielefed, GermanyThe expansion of off-/onshore wind farms plays a key role in the transformation of energy production from burning of fossil fuels and nuclear energy to sustainable and safe power generation. However, the wind energy sector is permanently under strong cost pressure and the maintenance of the turbines is currently still carried out quite expensively with human industrial climbers. In this article, we present the results of an interdisciplinary research project on the automation of various image-based inspection steps. Since the use of unmanned aerial vehicles (UAV) is a problem especially offshore, we present here a simple, cost-effective method to obtain a three-dimensional model of a wind energy plant using solely a digital camera equipped with a sensor array to use it for the detection and management of damages and abnormalities. A first approach to detect abnormalities on the surface with deep learning methods achieved an F1-score of about 95%.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/1121/2020/isprs-archives-XLIII-B2-2020-1121-2020.pdf
spellingShingle T. Möller
D. Brün
D. Langenkämper
R. van Kevelaer
T. W. Nattkemper
3D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title 3D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTION
title_full 3D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTION
title_fullStr 3D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTION
title_full_unstemmed 3D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTION
title_short 3D RECONSTRUCTION OF ON-/OFFSHORE WIND TURBINES FOR MANUAL AND COMPUTATIONAL VISUAL INSPECTION
title_sort 3d reconstruction of on offshore wind turbines for manual and computational visual inspection
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/1121/2020/isprs-archives-XLIII-B2-2020-1121-2020.pdf
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AT dbrun 3dreconstructionofonoffshorewindturbinesformanualandcomputationalvisualinspection
AT dlangenkamper 3dreconstructionofonoffshorewindturbinesformanualandcomputationalvisualinspection
AT rvankevelaer 3dreconstructionofonoffshorewindturbinesformanualandcomputationalvisualinspection
AT twnattkemper 3dreconstructionofonoffshorewindturbinesformanualandcomputationalvisualinspection