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The article develops a heterogeneous cognitive model using diagnostic and expert information to assess the condition of electrical equipment. So, this model used a weighted graph with labeled vertices and chords. A method has also been developed to train a non-special cognitive model with different types of vertices using an artificial neural network to make diagnostic decisions about the states of electrical equipment. Thus, this method used a system of hierarchical rules of mixed production. A level arrangement of network vertices was proposed to build an artificial neural network, considering the inclusion of fictitious vertices.

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Development of Models and Methods Using Fuzzy Logic Tools for Diagnosing Electrical Equipment

  • 会议论文

  • 发表日期：

    2025年

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  • Salahaddin I. Yusifov,
  • Rauf A. Mayilov,
  • Imran Y. Bayramov,
  • Rza S. Safarov

摘要

The article develops a heterogeneous cognitive model using diagnostic and expert information to assess the condition of electrical equipment. So, this model used a weighted graph with labeled vertices and chords. A method has also been developed to train a non-special cognitive model with different types of vertices using an artificial neural network to make diagnostic decisions about the states of electrical equipment. Thus, this method used a system of hierarchical rules of mixed production. A level arrangement of network vertices was proposed to build an artificial neural network, considering the inclusion of fictitious vertices.