Optimal Decision Making for Life Extension for Wind Turbines

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This paper presents how the decisions made in relation to life extension for wind turbines can be formulated as a Bayesian decision problem with decisions on analyses and inspections before the decision on whether to extend the lifetime. The paper presents an implementation where semi-probabilistic analyses are used to verify whether the fatigue life is sufficient for life extension, and where operational data can be exploited to reduce epistemic uncertainties for a more accurate prediction of the fatigue life. The optimal decision policies depends on the expected benefit of life extension, and there is a potential for making general recommendations to support wind turbine owners.
Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13
Number of pages8
Publication date2019
DOIs
Publication statusPublished - 2019
Event13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul, Korea, Democratic People's Republic of
Duration: 26 May 201930 May 2019

Conference

Conference13th International Conference on Applications of Statistics and Probability in Civil Engineering
CountryKorea, Democratic People's Republic of
CitySeoul
Period26/05/201930/05/2019
CitationsWeb of Science® Times Cited: No match on DOI

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