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Expert System Supporting the Diagnosis of the Wind Farm Equipments

  • Dariusz BernatowiczEmail author
  • Stanisław Duer
  • Paweł Wrzesień
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 928)

Abstract

An expert system that supports diagnosing of wind farm equipments is presented in this paper. First, the created functional and diagnostic models were presented for two basic elements of farms, such as: the wind power plant (turbine) and the electrical substation. Next, a division was made of the aforementioned elements into internal structure components (blocks), and diagnostic signals were determined for them. Based on these signals and their properties, a set of input data, parameters and an expert knowledge base in the form of facts and rules were developed. On further stages, the inference process of the expert system was characterized and the individual paths of obtaining a diagnosis of the working condition of wind farm devices were described. Additionally, the graphical user interface was discussed, and the manner of the presentation of inference process results was explained for general and detailed diagnosis.

Keywords

Technical diagnostics Reliability of a technical object Neural networks Servicing process Expert system Knowledge base Diagnostic information 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Dariusz Bernatowicz
    • 1
    Email author
  • Stanisław Duer
    • 2
  • Paweł Wrzesień
    • 3
  1. 1.Faculty of Electronics and Computer ScienceKoszalin University of TechnologyKoszalinPoland
  2. 2.Faculty of Mechanical EngineeringKoszalin University of TechnologyKoszalinPoland
  3. 3.Department of Technical and Commercial ManagementVortex Energy Poland sp. z o.o.SzczecinPoland

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