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Wind turbine reliability estimation for different assemblies and failure severity categories
MECAL Independent Experts, NL-7521 PL Enschede, Netherlands..
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
MECAL Independent Experts, NL-7521 PL Enschede, Netherlands..
2015 (English)In: IET Renewable Power Generation, ISSN 1752-1416, E-ISSN 1752-1424, Vol. 9, no 8, 892-899 p.Article in journal (Refereed) Published
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Abstract [en]

This study discusses the life-cycle analysis of wind turbines through the processing of operational data from three modern European wind farms. A methodology for supervisory control and data acquisition data processing has been developed combining previous research findings and experience from operational wind farms followed by statistical analysis of the results. The analysis was performed by dividing the wind turbine into assemblies and the failures events in severity categories. Depending on the failure severity category a different statistical methodology was applied, examining the reliability growth and the applicability of the bathtub curve' concept for wind turbine reliability analysis.

Place, publisher, year, edition, pages
2015. Vol. 9, no 8, 892-899 p.
Keyword [en]
wind turbines, wind power plants, failure analysis, SCADA systems, statistical analysis, power generation reliability, failure severity categories, wind turbine life cycle analysis, wind turbine reliability estimation, European wind farm, assemblies severity category, bathtub curve concept, supervisory control and data acquisition data processing
National Category
Energy Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-268801DOI: 10.1049/iet-rpg.2015.0020ISI: 000364432600005OAI: oai:DiVA.org:uu-268801DiVA: diva2:881115
Available from: 2015-12-09 Created: 2015-12-09 Last updated: 2017-12-01Bibliographically approved

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Uzunoglu, Bahri

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