Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models
العنوان: | Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models |
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المؤلفون: | Nielsen, Jannie Jessen, Sørensen, John Dalsgaard |
المساهمون: | Ale, J. M., Papazoglou, Ioannis A., Zio, Enrico |
المصدر: | Nielsen, J J & Sørensen, J D 2010, Planning of O &M for Offfshore Wind Turbines using Bayesian Graphical Models . in Book of Abstracts : ESREL 2010, Rhodes, Greece : 5-9 september 2010 : European Safety & Reliability Conference . European Safety and Reliability Association / Demokritos : national center for scientific research, pp. 54, European Safety and Reliability Conference : ESREL, Rhodes, Greece, 05/09/2010 . Nielsen, J J & Sørensen, J D 2010, Planning of O &M for Offfshore Wind Turbines using Bayesian Graphical Models . in J M Ale, I A Papazoglou & E Zio (eds), 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, Greece, 05/09/2010 . |
بيانات النشر: | European Safety and Reliability Association / Demokritos : national center for scientific research, 2010. |
سنة النشر: | 2010 |
مصطلحات موضوعية: | Bayesian Graphical Models, Offshore Wind Turbines |
الوصف: | 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. 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. |
وصف الملف: | application/pdf |
اللغة: | English |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::233a02b31183fe85b0b4c3d251604f8d |
حقوق: | OPEN |
رقم الأكسشن: | edsair.dedup.wf.001..233a02b31183fe85b0b4c3d251604f8d |
قاعدة البيانات: | OpenAIRE |
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