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Reliability improvement of wind turbine control system based on standby redundancy
Dept of Information Engineering University of Florence, Italy.
Dept of Information Engineering University of Florence, Italy.
Dept of Information Engineering University of Florence, Italy.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Tecnalia Research and Innovation, Spain .ORCID iD: 0000-0002-4107-0991
2019 (English)In: ISSE 2019 - 5th IEEE International Symposium on Systems Engineering: 2019 Symposium Proceedings, IEEE, 2019, article id 8984510Conference paper, Published paper (Other academic)
Abstract [en]

Reliability analysis is widely used in many industrial fields to predict the remaining life of complex systems by assessing their current health status. This paper deals with one of the best-known techniques for reliability analysis: the reliability block diagram. This method models the reliability of the system based on the system's architecture and the reliability of its components. The work analyses the control system of a 2MW wind turbine, proposing two different reliability models. The first draws on a standard control system architecture. The second introduces a cold standby redundancy architecture for the data acquisition subsystem and a warm standby redundancy architecture for the power supply subsystem. With these configurations, it is possible to improve the system reliability by neglecting some failure modes because one of the branches of the redundant configuration will be either inactive or partially active.

Place, publisher, year, edition, pages
IEEE, 2019. article id 8984510
Series
IEEE International Symposium on Systems Engineering (ISSE), E-ISSN 2687-8828
Keywords [en]
Reliability, RBD, Redundancy, Wind turbine, Control system, Standby redundancy
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-78112DOI: 10.1109/ISSE46696.2019.8984510ISI: 000542025000034Scopus ID: 2-s2.0-85081077717ISBN: 978-1-7281-1783-6 (electronic)OAI: oai:DiVA.org:ltu-78112DiVA, id: diva2:1415838
Conference
2019 International Symposium on Systems Engineering (ISSE), 1-3 Oct. 2019, Edinburgh, United Kingdom, United Kingdom
Available from: 2020-03-20 Created: 2020-03-20 Last updated: 2024-03-07Bibliographically approved

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Galar, Diego

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