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

التفاصيل البيبلوغرافية
العنوان: Planning of O&M for Offfshore Wind Turbines using Bayesian Graphical Models
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