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A proposed maintenance strategy for a wind turbine gearbox using condition monitoring techniques
Institute for Automotive Manufacturing and Advanced Practices, University of Sunderland, Department of Computing, Engineering and Technology, Institute for Automotive and Manufacturing Advanced Practise, University of Sunderland, School of Computing and Technology, University of Sunderland.
Institute for Automotive Manufacturing and Advanced Practices, University of Sunderland, University of Sunderland.
School of Business and Management, Lappeenranta University of Technology.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2016 (English)In: International Journal of Process Management and Benchmarking, ISSN 1460-6739, E-ISSN 1741-816X, Vol. 6, no 3, p. 386-403Article in journal (Refereed) Published
Abstract [en]

Renewable energy sources such as wind are available without limitations, but reliability is critical if pay back periods are to be met. The current reliability and failure modes of offshore wind turbines are known and have been used to develop preventive and corrective maintenance strategies but have done little to improve reliability. The analysis of gear lubricants can detect early signs of failure. Reliability centred maintenance (RCM) approach offers considerable benefit to the management of wind turbine operation, as it includes an appreciation of the impact of faults. This paper provides an overview of the application of RCM and condition monitoring techniques, to support the development of a maintenance strategy. It discusses the development of a sensor-based processing unit that can continuously monitor the lubricated systems and provide, real-time data enabling onshore staff to predict degradation anticipate problems and take remedial action before damage and failure occur

Place, publisher, year, edition, pages
2016. Vol. 6, no 3, p. 386-403
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-8276DOI: 10.1504/IJPMB.2016.077629Scopus ID: 2-s2.0-84978405227Local ID: 6c30f325-c8e2-45db-b0a2-d412abee5eb9OAI: oai:DiVA.org:ltu-8276DiVA, id: diva2:981167
Note

Validerad; 2016; Nivå 1; 20160816 (andbra)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Galar, Diego

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