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.
Originalsprog | Engelsk |
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Titel | Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 |
Forlag | Seoul National University |
Publikationsdato | 2019 |
ISBN (Elektronisk) | 979-119671250195530 |
Status | Udgivet - 2019 |
Begivenhed | 13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul National University, Seoul, Sydkorea Varighed: 26 maj 2019 → 30 maj 2019 https://www.icasp13.snu.ac.kr/ |
Konference
Konference | 13th International Conference on Applications of Statistics and Probability in Civil Engineering |
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Lokation | Seoul National University |
Land/Område | Sydkorea |
By | Seoul |
Periode | 26/05/2019 → 30/05/2019 |
Internetadresse |