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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Mcgugan, Malcolm
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2025Acoustic emission data analytics on delamination growth in a wind turbine blade under full-scale cyclic testingcitations
- 2024Understanding Fatigue Delamination Crack Growth in a Wind Turbine Rotor Blade Through an Element Testing
- 2021Fatigue testing of a 14.3 m composite blade embedded with artificial defects – damage growth and structural health monitoringcitations
- 2018Impact fatigue damage of coated glass fibre reinforced polymer laminatecitations
- 2018Impact fatigue damage of coated glass fibre reinforced polymer laminatecitations
- 2018Development of Single Point Impact Fatigue Tester (SPIFT)
- 2018Development of Single Point Impact Fatigue Tester (SPIFT)
- 2016Fibre Bragg Grating Sensor Signal Post-processing Algorithm: Crack Growth Monitoring in Fibre Reinforced Plastic Structurescitations
- 2015Crack Detection in Fibre Reinforced Plastic Structures Using Embedded Fibre Bragg Grating Sensors: Theory, Model Development and Experimental Validationcitations
- 2015Structural health monitoring method for wind turbine trailing edge: Crack growth detection using Fibre Bragg Grating sensor embedded in composite materials
- 2015Crack Growth Monitoring by Embedded Optical Fibre Bragg Grating Sensors: Fibre Reinforced Plastic Crack Growing Detectioncitations
- 2015Embedded Fibre Bragg Grating Sensor Response Model: Crack Growing Detection in Fibre Reinforced Plastic Materialscitations
- 2015Damage tolerant design and condition monitoring of composite material and bondlines in wind turbine blades: Failure and crack propagation
- 2015Crack growth monitoring in composite materials using embedded optical Fiber Bragg Grating sensor
- 2013Bondlines – Online blade measurements (October 2012 and January 2013)
- 2011Development and Testing of an Acoustoultrasonic Inspection Device for Condition Monitoring of Wind Turbine Blades
- 2010Full Scale Test of SSP 34m blade, edgewise loading LTT:Data Report 1
- 2008Full Scale Test of a SSP 34m boxgirder 2:Data report
- 2008Fundamentals for remote condition monitoring of offshore wind turbines
- 2008Full Scale Test of a SSP 34m boxgirder 2
- 2006Detecting and identifying damage in sandwich polymer composite by using acoustic emission
Places of action
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report
Fundamentals for remote condition monitoring of offshore wind turbines
Abstract
In the future, large wind turbines will be placed offshore in considerable numbers. Since access will be difficult and costly, it is preferable to use monitoring systems to reduce the reliance on manual inspection. The motivation for the effort reported here is to create the fundamental basis necessary for the use of sensors as a structural health monitoring system for wind turbine blades. This includes creating knowledge that will allow sensor signals to be used for remotely identifying the presence and position of any damage, the damage type and severity, and a structural condition assessment of the wind turbine blades that can integrate with existing SCADA tools to improve management of large offshore wind farms, and optimise the manual inspection/maintenance effort. Various sensor types, which have previously been identified as technically (and economically) capable of detecting the early development of significant damage in fibre reinforced composite, are investigated. In each case specific approaches have been proposed, developed and implemented in models or laboratory test specimens. The sensor approaches are based on acoustic emission (various passive and active applications including mobile sensors), fibre optics (including a new microbend transducer design and various Bragg-grating based applications), wireless approaches involving both battery and energy harvesting options, and inertia sensor based system identification approaches able to deal with linear periodic systems. In addition to the sensor investigations, a life-estimate approach for the wind turbines is described based on identifying and characterising critical material failure modes then integrating detailed models of damage progression rates into full scale models of the blade structure under operating loading regimes. The application of sensors is addressed during a full-scale blade test and recommendations are made regarding improvement to the commercial blade certification process of test and inspection, sensor use for monitoring in-service structural response, and the need for dedicated research facilities providing multi-scale and multifunctional testing of structures.