POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring

Pablo G. Morato; Jannie Sønderkær Nielsen; Anh Quang Mai; Philippe Rigo

POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring

Pablo G. Morato, Jannie Sønderkær Nielsen, Anh Quang Mai, Philippe Rigo

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
Publisher	Seoul National University
Publication date	2019
ISBN (Electronic)	979-119671250195530
Publication status	Published - 2019
Event	13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul National University, Seoul, Korea, Republic of Duration: 26 May 2019 → 30 May 2019 https://www.icasp13.snu.ac.kr/

Conference

Conference	13th International Conference on Applications of Statistics and Probability in Civil Engineering
Location	Seoul National University
Country/Territory	Korea, Republic of
City	Seoul
Period	26/05/2019 → 30/05/2019
Internet address	https://www.icasp13.snu.ac.kr/

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@inproceedings{97e26b9e89bd41a9924d7588ff3415c0,

title = "POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring",

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.",

author = "Morato, {Pablo G.} and Nielsen, {Jannie S{\o}nderk{\ae}r} and Mai, {Anh Quang} and Philippe Rigo",

year = "2019",

language = "English",

booktitle = "Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019",

publisher = "Seoul National University",

note = "13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP13 ; Conference date: 26-05-2019 Through 30-05-2019",

url = "https://www.icasp13.snu.ac.kr/",

}

Morato, PG, Nielsen, JS, Mai, AQ & Rigo, P 2019, POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring. in Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. Seoul National University, 13th International Conference on Applications of Statistics and Probability in Civil Engineering, Seoul, Korea, Republic of, 26/05/2019.

POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring. / Morato, Pablo G.; Nielsen, Jannie Sønderkær; Mai, Anh Quang et al.
Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. Seoul National University, 2019.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring

AU - Morato, Pablo G.

AU - Nielsen, Jannie Sønderkær

AU - Mai, Anh Quang

AU - Rigo, Philippe

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85083953736&partnerID=8YFLogxK

M3 - Article in proceeding

AN - SCOPUS:85083953736

BT - Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019

PB - Seoul National University

T2 - 13th International Conference on Applications of Statistics and Probability in Civil Engineering

Y2 - 26 May 2019 through 30 May 2019

ER -

POMDP based Maintenance Optimization of Offshore Wind Substructures including Monitoring

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