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

Division of Structures, Geotechnics and Risk

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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.

Original language	English
Title of host publication	Reliability, Risk and Safety : back to the future : ESREL 2010 : annual conference, 5-9 September 2010, Rhodes, Greece
Editors	J. M. Ale, Ioannis A. Papazoglou, Enrico Zio
Number of pages	8
Place of Publication	Leiden
Publisher	CRC Press
Publication date	2010
ISBN (Electronic)	9780415604277
Publication status	Published - 2010
Event	European Safety and Reliability Conference : ESREL - Rhodes, Greece Duration: 5 Sept 2010 → 9 Sept 2010

Conference

Conference	European Safety and Reliability Conference : ESREL
Country/Territory	Greece
City	Rhodes
Period	05/09/2010 → 09/09/2010

Bibliographical note

Published on a cd.

Keywords

Offshore Wind Turbines
Bayesian Graphical Models

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@inproceedings{8b6e5842921a41559603c6a64ce3fddb,

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",

address = "Netherlands",

}

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. ed. / J. M. Ale; Ioannis A. Papazoglou; Enrico Zio. Leiden: CRC Press, 2010.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › 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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Bibliographical note

Keywords

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