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POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Morato, Pablo G. | - |
dc.contributor.author | Nielsen, Jannie S. | - |
dc.contributor.author | Mai, Anh Q. | - |
dc.contributor.author | Rigo, Philippe | - |
dc.date.accessioned | 2019-05-14T03:01:11Z | - |
dc.date.available | 2019-05-14T03:01:11Z | - |
dc.date.issued | 2019-05-26 | - |
dc.identifier.citation | 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019 | - |
dc.identifier.isbn | 979-11-967125-0-1 | - |
dc.identifier.other | ICASP13-067 | - |
dc.identifier.uri | https://hdl.handle.net/10371/153286 | - |
dc.description.abstract | Sequential decision making under uncertainty is a complex task limited normally by computational requirements. A novel methodology is proposed in this paper to identify the optimal maintenance strategy of a structural component by using a point-based Partially Observable Markov Decision Process (POMDP). The framework integrates a dynamic bayesian network to track the deterioration over time with a POMDP model for the generation of a dynamic policy. The methodology is applied to an example quantifying whether a monitoring scheme is cost effective. This complex decision problem comprised of 200 damage states is solved accurately within 60 seconds of computational time. | - |
dc.description.sponsorship | This research is funded by the National Fund for Scientific Research in Belgium F.R.I.A. - F.N.R.S. | - |
dc.language.iso | en | - |
dc.title | POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring | - |
dc.type | Conference Paper | - |
dc.identifier.doi | 10.22725/ICASP13.067 | - |
dc.sortNo | 933 | - |
dc.citation.pages | 270-277 | - |
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