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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM2011) : advances in industial asset integrity management |
| Redaktører | Maneesh Singh, Raj B. K. N. Rao, J. P. Liyanage |
| Antal sider | 11 |
| Udgivelsessted | Kolkata, India |
| Forlag | Publishing Services PL |
| Publikationsdato | 2011 |
| Sider | 639-649 |
| ISBN (Elektronisk) | 0-9541307-2-3 |
| Status | Udgivet - 2011 |
| Begivenhed | The 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM2011) : advances in industial asset integrity management - Stavanger, Norge Varighed: 30 maj 2011 → 1 jun. 2011 |
Konference
| Konference | The 24th International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM2011) : advances in industial asset integrity management |
|---|---|
| Land/Område | Norge |
| By | Stavanger |
| Periode | 30/05/2011 → 01/06/2011 |
Emneord
- Risk-Based Maintenance
- Offshore Wind Turbines
- Bayesian Networks
- Uncertainty