Abstract
This paper presents how Bayesian networks can be used to make optimal decisions for repairs of offshore wind turbines. The Bayesian network is an efficient tool for updating a deterioration model whenever new information becomes available from inspections/monitoring. The optimal decision is found such that the preventive maintenance effort is balanced against the costs to corrective maintenance including indirect costs to reduced production. The basis for the optimization is the risk based Bayesian decision theory. The method is demonstrated through an application example.
| Original language | English |
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| Title of host publication | 6th EAWE PhD Seminar on Wind Energy in Europe |
| Editors | Daniel Zwick, Marit Irene Kvittem, Raymondo Torres Olguin |
| Number of pages | 4 |
| Place of Publication | Trondheim |
| Publisher | Norwegian University of Science and Technology |
| Publication date | 2010 |
| Pages | 101-104 |
| Publication status | Published - 2010 |
| Event | 6th PhD Seminar on Wind Energy in Europe - Trondheim, Norway Duration: 30 Sept 2010 → 1 Oct 2010 |
Conference
| Conference | 6th PhD Seminar on Wind Energy in Europe |
|---|---|
| Country/Territory | Norway |
| City | Trondheim |
| Period | 30/09/2010 → 01/10/2010 |
Keywords
- Wind turbines
- Maintenance
- Bayesian networks
- Risk based optimization