Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines

Fausto Pedro García Márquez, Alberto Pliego Marugán, Jesús María Pinar Pérez, Stuart Hillmansen and Mayorkinos Papaelias
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Fausto Pedro García Márquez: Ingenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, Spain
Alberto Pliego Marugán: Ingenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, Spain
Stuart Hillmansen: School of Electronic, Electrical & Computer Engineering, University of Birmingham, Birmingham B15 2TT, UK
Mayorkinos Papaelias: School of Metallurgy and Materials, University of Birmingham, Birmingham B15 2TT, UK

Energies, 2017, vol. 10, issue 8, 1-19

Abstract: Electrical and electronic components are very important subcomponents in modern industrial wind turbines. Complex multimegawatt wind turbines are continuously being installed both onshore and offshore, continuously increasing the demand for sophisticated electronic and electrical components. In this work, most critical electrical and electronic components in industrial wind turbines have been identified and the applicability of appropriate condition monitoring processes simulated. A fault tree dynamic analysis has been carried out by binary decision diagrams to obtain the system failure probability over time and using different time increments to evaluate the system. This analysis allows critical electrical and electronic components of the converters to be identified in different conditions. The results can be used to develop a scheduled maintenance that improves the decision making and reduces the maintenance costs.

Keywords: fault tree analysis; binary diagram decisions; wind turbines; converters; condition monitoring; maintenance management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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