Functional and diagnostic structure of the equipment of a wind power station

  • Radosław Duer Faculty of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland
  • Paweł Wrzesień Vortex Energy Polska sp. z o.o., Department of Technical and Commercial Management, Szczecin, Poland
  • Stanisław Duer Faculty of Mechanical Engineering, Koszalin University of Technology, Koszalin, Poland https://orcid.org/0000-0001-9627-015X
  • Dariusz Bernatowicz Faculty of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland https://orcid.org/0000-0002-4156-5142
  • Ján Valíček Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic
DOI: https://doi.org/10.30464/jmee.2019.3.4.323
Keywords: Artificial intelligence, Expert systems, Knowledge base, Technical diagnostics, Wind power plant

Abstract

This article describes functional and diagnostic structure of the equipment of a Wind Power Station. Considering particular operational conditions of a technical object, that is a set of Wind Power Station equipment, this is a significant issue. A structural model of Wind Power Station  equipment is developed. Based on that, a functional – diagnostic model of Wind Power Station  equipment is elaborated. That model is a basis for determining primary elements of the object structure, as well as for interpreting a set of diagnostic signals and their reference signals.

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Author Biographies

Radosław Duer, Faculty of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

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Radosław Duer was born in 1977 at Koszalin, Poland. He received the M.S. degree in electrical engineering in 2001 from the Technical University of Koszalin. Between 2002 and 2006 he was appointed as research fellow at Technical University of Koszalin working upon  non-destructive methods for thermal investigation of thin-layer semiconductors structures. Since 2006 he is working upon electronic systems development and informatics systems.

Paweł Wrzesień, Vortex Energy Polska sp. z o.o., Department of Technical and Commercial Management, Szczecin, Poland

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Paweł Wrzesień was born in 1987 at Darłowo, Poland. He received the B.Sc. degree in power engineering in 2016 from the Technical University of Koszalin and has been expecting the M.Sc. degree in electric power engineering in 2018 from the Wrocław University of Science and Technology. From 2012 to 2015 he worked as operations & maintenance manager of wind farms. Since 2015 he has been Head of Technical and Commercial Management of Wind and PV assets at vortex energy, managing the assets in Poland and Germany. His areas of interest are: optimization of operations and maintenance of wind and PV parks, technical diagnosis, development and application of the AI in expert systems for operational safety and reliability of wind and PV parks interconnected to respective DSOs.

Stanisław Duer, Faculty of Mechanical Engineering, Koszalin University of Technology, Koszalin, Poland

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Stanisław Duer was born at Latyczyn in Poland. He received the B.Sc. and M.Sc. degrees in electrical engineering from Military University of Technology, Warsaw, Poland. In 2003 he defended the Ph.D. thesis on technical diagnostic and received a PhD degree from Department of Mechatronics, Military University of Technology. Since 2003, he has been an Assistant Professor with the Applied Electrical Engineering and Electronics in Faculty of Mechanical Engineering, Technical University of Koszalin, Poland. He published sixteen books and more than 190 articles. Since 2013 he is working at the Department of Energy in Faculty of Mechanical Engineering, Technical University of Koszalin as the professor. His areas of interest are: technical diagnostic, diagnostic systems with an artificial neural network, mathematical modelling, application of mathematical, expert systems, control theory, innovation in electronic applications in the wind power plants equipment, cars and others.

Dariusz Bernatowicz, Faculty of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

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Dariusz Bernatowicz was born in Malbork, in Poland. He received the M.S. degree in economy in 2000 and also the B.Sc and.M.S. degrees in computer engineering in 2001 from the Technical University of Koszalin. From 2001 to 2005, he was a Software Development and Programming for multinational corporations (Java, J2EE, DBMS). Since 2005, he has been an assistant at  Department of Electronics and Informatics, Technical University of Koszalin, Poland. His research interest includes the development and adaptation artificial neural network in the diagnostic systems of a reparable technical object, study of expert and distributed database systems and also software programming with languages Java.

Ján Valíček, Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, České Budějovice, Czech Republic

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Ján Valíček graduated from the Faculty of Mining and Geology, Technical University of Ostrava in 2000. He received his PhD and DSc degrees in 2004 and 2008, respectively. Currently he works as an professor in Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budéjovice, (České Budéjovice, Czech Republic) and also in Department of Electrical Engineering, Faculty of Engineering, Slovak University of Agriculture in Nitra, Automation and Informatics (Nitra, Slovakia). He specializes in characterization, processing and measurements of modern materials, metallurgical engineering as well as advanced technological processes. He was awarded by four prizes of Werner von Siemens Excellence Award for the best research works in 2001 for scholarship support for student, in 2005 for the best PhD. He published over 150 scientific papers.

JMME 3(4) 2019 front cover
Published
2020-02-24
How to Cite
Duer, R., Wrzesień, P., Duer, S., Bernatowicz, D. and Valíček, J. (2020) “Functional and diagnostic structure of the equipment of a wind power station”, Journal of Mechanical and Energy Engineering, 3(4), pp. 323-328. doi: 10.30464/jmee.2019.3.4.323.
Issue
Vol 3 No 4 (2019)
Section
Energy Engineering

Copyright (c) 2020 Radosław Duer, Paweł Wrzesień, Stanisław Duer, Dariusz Bernatowicz, Ján Valíček

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