Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2008Fundamentals for remote condition monitoring of offshore wind turbinescitations

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Chart of shared publication
Borum, Kaj Kvisgård
1 / 2 shared
Engelhardt, Jonas
1 / 1 shared
Sørensen, Bent F.
1 / 51 shared
Mcgugan, Malcolm
1 / 21 shared
Chart of publication period
2008

Co-Authors (by relevance)

  • Borum, Kaj Kvisgård
  • Engelhardt, Jonas
  • Sørensen, Bent F.
  • Mcgugan, Malcolm
OrganizationsLocationPeople

report

Fundamentals for remote condition monitoring of offshore wind turbines

  • Borum, Kaj Kvisgård
  • Engelhardt, Jonas
  • Larsen, Gunner Chr.
  • Sørensen, Bent F.
  • Mcgugan, Malcolm
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.

Topics
  • impedance spectroscopy
  • composite
  • acoustic emission