On the Value of Structural Health Monitoring Information for the Operation of Wind Parks

Sebastian Thöns, Michael Havbro Faber Nielsen, Dimitri V. Val

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Probabilistic design and estimation of the time to failure of wind turbine
components and systems are important tools to lower the cost of energy of wind
energy. This paper describes the general requirements for probabilistic design of
wind turbines and an illustrative example with cast components is presented.
Original languageEnglish
Title of host publicationSafety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure : Proceedings of the 12th International Conference on Structural Safety and Reliability
EditorsChristian Bucher, Bruce R. Ellingwood, Dan M. Frangopol
Place of PublicationVienna
PublisherTU Verlag
Publication date2017
Pages3008-3017
ISBN (Electronic)978-3-903024-28-1
Publication statusPublished - 2017
Event12th International Conference on Structural Safety & Reliability: ICOSSAR 2017 - Faculty of Civil Engineering, TU Wien, Wien, Austria
Duration: 6 Aug 201710 Aug 2017
Conference number: 12

Conference

Conference12th International Conference on Structural Safety & Reliability
Number12
LocationFaculty of Civil Engineering, TU Wien
Country/TerritoryAustria
CityWien
Period06/08/201710/08/2017

Bibliographical note

The ICOSSAR 2017 is sponsored by IASSAR

Keywords

  • Wind parks
  • Structural health monitoring (SHM)

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