Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models

Jannie Jessen Nielsen; John Dalsgaard Sørensen

Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models

Jannie Jessen Nielsen, John Dalsgaard Sørensen

Sektionen for Konstruktioner, Geoteknik og Risiko

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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Abstract

The costs to operation and maintenance (O&M) for offshore wind turbines are large, and riskbased planning of O&M has the potential of reducing these costs. This paper presents how Bayesian graphical models can be used to establish a probabilistic damage model and include data from imperfect inspections and monitoring. The method offers efficient updating of the failure probability, which is necessary for risk-based decision making. An application example is presented to demonstrate the capabilities of the method.

Originalsprog	Engelsk
Titel	Reliability, Risk and Safety : back to the future : ESREL 2010 : annual conference, 5-9 September 2010, Rhodes, Greece
Redaktører	J. M. Ale, Ioannis A. Papazoglou, Enrico Zio
Antal sider	8
Udgivelsessted	Leiden
Forlag	CRC Press
Publikationsdato	2010
ISBN (Elektronisk)	9780415604277
Status	Udgivet - 2010
Begivenhed	European Safety and Reliability Conference : ESREL - Rhodes, Grækenland Varighed: 5 sep. 2010 → 9 sep. 2010

Konference

Konference	European Safety and Reliability Conference : ESREL
Land/Område	Grækenland
By	Rhodes
Periode	05/09/2010 → 09/09/2010

Bibliografisk note

Published on a cd.

Emneord

Offshore Wind Turbines
Bayesian Graphical Models

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Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical ModelsForlagets udgivne version, 126 KB

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Citationsformater

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title = "Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models",

abstract = "The costs to operation and maintenance (O&M) for offshore wind turbines are large, and riskbased planning of O&M has the potential of reducing these costs. This paper presents how Bayesian graphical models can be used to establish a probabilistic damage model and include data from imperfect inspections and monitoring. The method offers efficient updating of the failure probability, which is necessary for risk-based decision making. An application example is presented to demonstrate the capabilities of the method.",

keywords = "Offshore Wind Turbines, Bayesian Graphical Models, Offshore Wind Turbines, Bayesian Graphical Models",

author = "Nielsen, {Jannie Jessen} and S{\o}rensen, {John Dalsgaard}",

note = "Published on a cd.; European Safety and Reliability Conference : ESREL ; Conference date: 05-09-2010 Through 09-09-2010",

year = "2010",

language = "English",

editor = "Ale, {J. M.} and Papazoglou, {Ioannis A.} and Enrico Zio",

booktitle = "Reliability, Risk and Safety : back to the future",

publisher = "CRC Press",

}

Nielsen, JJ & Sørensen, JD 2010, Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models. i JM Ale, IA Papazoglou & E Zio (red), Reliability, Risk and Safety : back to the future: ESREL 2010 : annual conference, 5-9 September 2010, Rhodes, Greece. CRC Press, Leiden, European Safety and Reliability Conference : ESREL, Rhodes, Grækenland, 05/09/2010.

Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models. / Nielsen, Jannie Jessen ; Sørensen, John Dalsgaard.
Reliability, Risk and Safety : back to the future: ESREL 2010 : annual conference, 5-9 September 2010, Rhodes, Greece. red. / J. M. Ale; Ioannis A. Papazoglou; Enrico Zio. Leiden: CRC Press, 2010.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models

AU - Nielsen, Jannie Jessen

AU - Sørensen, John Dalsgaard

N1 - Published on a cd.

PY - 2010

Y1 - 2010

N2 - The costs to operation and maintenance (O&M) for offshore wind turbines are large, and riskbased planning of O&M has the potential of reducing these costs. This paper presents how Bayesian graphical models can be used to establish a probabilistic damage model and include data from imperfect inspections and monitoring. The method offers efficient updating of the failure probability, which is necessary for risk-based decision making. An application example is presented to demonstrate the capabilities of the method.

AB - The costs to operation and maintenance (O&M) for offshore wind turbines are large, and riskbased planning of O&M has the potential of reducing these costs. This paper presents how Bayesian graphical models can be used to establish a probabilistic damage model and include data from imperfect inspections and monitoring. The method offers efficient updating of the failure probability, which is necessary for risk-based decision making. An application example is presented to demonstrate the capabilities of the method.

KW - Offshore Wind Turbines

KW - Bayesian Graphical Models

KW - Offshore Wind Turbines

KW - Bayesian Graphical Models

M3 - Article in proceeding

BT - Reliability, Risk and Safety : back to the future

A2 - Ale, J. M.

A2 - Papazoglou, Ioannis A.

A2 - Zio, Enrico

PB - CRC Press

CY - Leiden

T2 - European Safety and Reliability Conference : ESREL

Y2 - 5 September 2010 through 9 September 2010

ER -

Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models

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