Knowledge base for wind farm devices in the computer expert system

The article presents the issue of determining diagnostic information for the needs of testing the condition of wind farm equipment. To this end, the essence of the structure of an intelligent expert system was presented and described. The structure of the tested object is shown in the form of a func...

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Main Authors: Radosław Duer, Stanisław Duer, Lech Drawski
Format: Article
Language:English
Published: Military University of Technology, Warsaw 2020-02-01
Series:Biuletyn Wojskowej Akademii Technicznej
Subjects:
Online Access:http://biuletynwat.pl/gicid/01.3001.0013.9734
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author Radosław Duer
Stanisław Duer
Lech Drawski
author_facet Radosław Duer
Stanisław Duer
Lech Drawski
author_sort Radosław Duer
collection DOAJ
description The article presents the issue of determining diagnostic information for the needs of testing the condition of wind farm equipment. To this end, the essence of the structure of an intelligent expert system was presented and described. The structure of the tested object is shown in the form of a functional and diagnostic model. Based on the developed model of the examined object, diagnostic information was determined in the form of a set of basic elements and a set of diagnostic signals, which are later used in the construction of an expert knowledge base. The expert knowledge base is determined by sets of facts and rules applied. An important part of this article is description of the structure of the expert system and the expert knowledge base used in it. Keywords: wind farm, renewable energy, technical diagnostics, diagnostic inference, artificial intelligence
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spelling doaj.art-fcee7a6c4b4e4bd8aeca2e495e9bde882023-09-02T23:31:32ZengMilitary University of Technology, WarsawBiuletyn Wojskowej Akademii Technicznej1234-58652020-02-0168410711810.5604/01.3001.0013.973401.3001.0013.9734Knowledge base for wind farm devices in the computer expert systemRadosław Duer0Stanisław Duer1Lech Drawski2Jabil Circuit Poland, ul. Lotnicza 2, 82-500 KwidzynPolitechnika Koszalińska, Wydział Mechaniczny, Katedra Energetyki, ul. Racławicka 15-17, 75-620 KoszalinPolitechnika Koszalińska, Wydział Mechaniczny, Katedra Energetyki, ul. Racławicka 15-17, 75-620 KoszalinThe article presents the issue of determining diagnostic information for the needs of testing the condition of wind farm equipment. To this end, the essence of the structure of an intelligent expert system was presented and described. The structure of the tested object is shown in the form of a functional and diagnostic model. Based on the developed model of the examined object, diagnostic information was determined in the form of a set of basic elements and a set of diagnostic signals, which are later used in the construction of an expert knowledge base. The expert knowledge base is determined by sets of facts and rules applied. An important part of this article is description of the structure of the expert system and the expert knowledge base used in it. Keywords: wind farm, renewable energy, technical diagnostics, diagnostic inference, artificial intelligencehttp://biuletynwat.pl/gicid/01.3001.0013.9734wind farmrenewable energytechnical diagnosticsdiagnostic inferenceartificial intelligence
spellingShingle Radosław Duer
Stanisław Duer
Lech Drawski
Knowledge base for wind farm devices in the computer expert system
Biuletyn Wojskowej Akademii Technicznej
wind farm
renewable energy
technical diagnostics
diagnostic inference
artificial intelligence
title Knowledge base for wind farm devices in the computer expert system
title_full Knowledge base for wind farm devices in the computer expert system
title_fullStr Knowledge base for wind farm devices in the computer expert system
title_full_unstemmed Knowledge base for wind farm devices in the computer expert system
title_short Knowledge base for wind farm devices in the computer expert system
title_sort knowledge base for wind farm devices in the computer expert system
topic wind farm
renewable energy
technical diagnostics
diagnostic inference
artificial intelligence
url http://biuletynwat.pl/gicid/01.3001.0013.9734
work_keys_str_mv AT radosławduer knowledgebaseforwindfarmdevicesinthecomputerexpertsystem
AT stanisławduer knowledgebaseforwindfarmdevicesinthecomputerexpertsystem
AT lechdrawski knowledgebaseforwindfarmdevicesinthecomputerexpertsystem