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Development of a Fuzzy Inference Model for the Management of a Marine Engine

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1246))

Abstract

The paper presents the results of the research concerning development of a fuzzy inference system to determine the current state of marine engine based on criteria established by the manufacturer. The practical implementation of the proposed model has been carried out for marine engine Wärtsilä 6L46C, which is one of the most used types of current marine engines. Implementation of the fuzzy inference system was performed based on R software using Mamdani inference algorithm. The gaussian and triangular membership functions were used for input and output variables respectively during the simulation process. The results of the simulation have shown that value of the output parameter (technical state of engine) was changed within the range from 0.15 to 0.893 during variation of the input parameters from minimal to maximal values. This fact indicates the adequate of the proposed fuzzy inference system operation.

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Author information

Authors and Affiliations

  1. Jan Evangelista Purkyně University in Ústí nad Labem, Ústí nad Labem, Czech Republic

    Sergii Babichev

  2. Ukrainian Academy of Printing, Lviv, Ukraine

    Sergii Babichev & Orest Khamula

  3. Kherson State Maritime Academy, Kherson, Ukraine

    Liliya Strielkovskaya

  4. Military-Diplomatic Academy named after Eugene Bereznyak, Kyiv, Ukraine

    Oleksandr Zaitsev

Authors
  1. Sergii Babichev
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  2. Liliya Strielkovskaya
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  3. Oleksandr Zaitsev
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  4. Orest Khamula
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Corresponding author

Correspondence to Sergii Babichev .

Editor information

Editors and Affiliations

  1. Department of Informatics, Jan Evangelista Purkyně University in Ústí nad Labem, Ústí nad Labem, Czech Republic

    Sergii Babichev

  2. Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

  3. Institute of Electronics and Information, Lublin University of Technology, Lublin, Poland

    Waldemar Wójcik

  4. Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine

    Svetlana Vyshemyrskaya

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Babichev, S., Strielkovskaya, L., Zaitsev, O., Khamula, O. (2021). Development of a Fuzzy Inference Model for the Management of a Marine Engine. In: Babichev, S., Lytvynenko, V., Wójcik, W., Vyshemyrskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2020. Advances in Intelligent Systems and Computing, vol 1246. Springer, Cham. https://doi.org/10.1007/978-3-030-54215-3_21

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