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