Abstract
In this paper data describing the operation and maintenance of an offshore wind farm is presented and analysed. Two different sets of data is presented; the first is auto generated error messages from the Supervisory Control and Data Acquisition (SCADA) system, the other is the work orders describing the service performed at the individual turbines. The auto generated alarms are analysed by applying a cleaning procedure to identify the alarms related to components.
A severity, occurrence, and detection analysis is performed on the work orders. The outcome of the two analyses are then compared to identify common fault types and areas where further data analysis would be beneficial for improving the operation and maintenance of wind turbines in the future.
A severity, occurrence, and detection analysis is performed on the work orders. The outcome of the two analyses are then compared to identify common fault types and areas where further data analysis would be beneficial for improving the operation and maintenance of wind turbines in the future.
| Original language | English |
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| Book series | IFAC-PapersOnLine |
| Volume | 47 |
| Issue number | 3 |
| Pages (from-to) | 4316-4321 |
| Number of pages | 5 |
| ISSN | 1474-6670 |
| Publication status | Published - Nov 2012 |
| Event | 10th European Workshop on Advanced Control and Diagnosis 2012 - Copenhagen, Denmark Duration: 8 Nov 2012 → 9 Nov 2012 |
Workshop
| Workshop | 10th European Workshop on Advanced Control and Diagnosis 2012 |
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| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 08/11/2012 → 09/11/2012 |