Wind Power Plant Expert System Diagnostic Knowledge Base Creation

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.

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Institutions

Publication Details

Journal
Energies
Published
2025-04-05
DOI
https://doi.org/10.3390/en18071843
Citations
3
Primary Topic
Transportation Systems and Safety
Type
article
Field-Weighted Citation Impact
10.62
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article

Wind Power Plant Expert System Diagnostic Knowledge Base Creation

Marek Woźniak, Marek Stawowy, Stanisław Duer, Dariusz Bernatowicz et al.
3 citations
Energies
Transportation Systems and Safety
10.62
article

Wind Power Plant Expert System Diagnostic Knowledge Base Creation

Marek Woźniak, Marek Stawowy, Stanisław Duer, Dariusz Bernatowicz, K. Zajkowski, Jacek Paś, Atif Iqbal, Marta Harničárová, Radosław Duer
article en
3 citations

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.

EnergiesVol. 18(7)
Warsaw University of Technology (PL), Slovak University of Agriculture in Nitra (SK), Zhejiang University of Science and Technology (CN), Koszalin University of Technology (PL), Military University of Technology in Warsaw (PL), Institute of Electrical Engineering of the Slovak Academy of Sciences (SK), Institute of Technology and Business (CZ), State Higher Vocational School in Koszalin (PL), Hangzhou City University, Zhejiang University (CN)
Openalex Percentile: Top 2%
Transportation Systems and Safety
10.62
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