Abstract
This paper describes how risk-based decision making can be used for maintenance planning of components exposed to degradation such as fatigue in offshore wind turbines. In fatigue models, large epistemic uncertainties are usually present. These can be reduced if monitoring results are used to update the models, and hereby a better basis for decision making is obtained. An application example shows how a Bayesian network model can be used as a tool for updating the model and assist in risk-based decision making.
| Original language | English |
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| Title of host publication | Proceedings of the 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM2011) : advances in industial asset integrity management |
| Editors | Maneesh Singh, Raj B. K. N. Rao, J. P. Liyanage |
| Number of pages | 11 |
| Place of Publication | Kolkata, India |
| Publisher | Publishing Services PL |
| Publication date | 2011 |
| Pages | 639-649 |
| ISBN (Electronic) | 0-9541307-2-3 |
| Publication status | Published - 2011 |
| Event | The 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM2011) : advances in industial asset integrity management - Stavanger, Norway Duration: 30 May 2011 → 1 Jun 2011 |
Conference
| Conference | The 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM2011) : advances in industial asset integrity management |
|---|---|
| Country/Territory | Norway |
| City | Stavanger |
| Period | 30/05/2011 → 01/06/2011 |
Bibliographical note
© COMADEM InternationalKeywords
- Risk-Based Maintenance
- Offshore Wind Turbines
- Bayesian Networks
- Uncertainty