Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines
1
Ingenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, Spain
2
CUNEF-Ingenium, University College of Financial Studies, 28040 Madrid, Spain
3
School of Electronic, Electrical & Computer Engineering, University of Birmingham, Birmingham B15 2TT, UK
4
School of Metallurgy and Materials, University of Birmingham, Birmingham B15 2TT, UK
*
Author to whom correspondence should be addressed.
Energies 2017, 10(8), 1111; https://doi.org/10.3390/en10081111
Received: 23 May 2017
/
Revised: 28 June 2017
/
Accepted: 18 July 2017
/
Published: 31 July 2017
(This article belongs to the Collection Wind Turbines)
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.
View Full-Text
Keywords:
fault tree analysis; binary diagram decisions; wind turbines; converters; condition monitoring; maintenance management
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
García Márquez, F.P.; Pliego Marugán, A.; Pinar Pérez, J.M.; Hillmansen, S.; Papaelias, M. Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines. Energies 2017, 10, 1111. https://doi.org/10.3390/en10081111
AMA Style
García Márquez FP, Pliego Marugán A, Pinar Pérez JM, Hillmansen S, Papaelias M. Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines. Energies. 2017; 10(8):1111. https://doi.org/10.3390/en10081111
Chicago/Turabian StyleGarcía Márquez, Fausto P., Alberto Pliego Marugán, Jesús M. Pinar Pérez, Stuart Hillmansen, and Mayorkinos Papaelias. 2017. "Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines" Energies 10, no. 8: 1111. https://doi.org/10.3390/en10081111
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
