Wind Power Plant Expert System Diagnostic Knowledge Base Creation

Radosław Duer, Stanisław Duer, Konrad Zajkowski, Marek Woźniak (), Dariusz Bernatowicz, Jacek Paś, Marek Stawowy, Atif Iqbal and Marta Harničárová
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Radosław Duer: Independent Researcher, Koszalin, 75-620 Koszalin, Poland
Stanisław Duer: Department of Energy, Faculty of Mechanical Engineering and Power Engineering, Technical University of Koszalin, 5-17 Raclawicka St., 75-620 Koszalin, Poland
Konrad Zajkowski: Department of Energy, Faculty of Mechanical Engineering and Power Engineering, Technical University of Koszalin, 5-17 Raclawicka St., 75-620 Koszalin, Poland
Marek Woźniak: Doctoral School, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland
Dariusz Bernatowicz: Faculty of Electronic and Informatics, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland
Jacek Paś: Faculty of Electronic, Military University of Technology of Warsaw, 2 Urbanowicza St., 00-908 Warsaw, Poland
Marek Stawowy: Department of Transport Telecommunication, Faculty of Transport, Warsaw University of Technology, Koszykowa St. 75, 00-662 Warsaw, Poland
Atif Iqbal: School of Mechanical Engineering, Hangzhou City University, Hangzhou 310015, China
Marta Harničárová: Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic

Energies, 2025, vol. 18, issue 7, 1-20

Abstract: Under certain weather circumstances, wind farms might lose their operational integrity. The study describes the process for building a WPP (Wind Power Plant) expert knowledge base for the WPPES system. The article presents the creation of an expert knowledge base on wind farm equipment that is the basis for the functioning of an intelligent expert system. For this purpose, a functional and diagnostic model of wind farm equipment was presented and described. Functional diagnostic models of objects are the basis for obtaining diagnostic information about the study object (set of facts). The operating conditions of the wind farm equipment and their surroundings have been characterized and described. On this basis, admissible and boundary conditions for the functioning of the tested technical object were determined. The above information specifically supplements the diagnostic information set when building the set of facts and rules. An important part of the article is to describe the principles and conditions for developing a set of diagnostic rules for the knowledge base of an expert system diagnosing wind farm equipment. Building expert knowledge bases is an extremely complex process of transforming diagnostic object information sets into the form of knowledge that is required by an expert system. To this end, an analytical relationship was developed and described as the basis for building a set of inference rules for the examined object. The effectiveness of the developed expert knowledge base is presented in the aspect of its introduction to the expert system knowledge module.

Keywords: artificial intelligence; expert systems; expert knowledge base; technical diagnostics; wind power plant (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: 2025
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