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Application of Multi-valued State Assessment in an Intelligent System Diagnosing Hybrid Power System Devices

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Innovations Induced by Research in Technical Systems (IIRTS 2019)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

The present article covers the idea of the examination of the value of the k-th logics of diagnostic information related to the assessment of the states of complex technical items. For this purpose, an intelligent diagnostic system was presented whose particular property is the possibility to select any k-th logic of inference from set {k = 4, 3, 2}. An important part of this study is the presentation of theoretical grounds that describe the idea of inference in the multi-valued logic examined. Furthermore, it was demonstrated that the permissible range of the values of the properties of diagnostic signals constitutes the basis of the classification of states in multi-valued logic in the DIAG 2 diagnostic system. For this purpose, a procedure of the classification of states in selected values of multi-valued logic was presented and described. An important element in the functioning of diagnostic systems, i.e. the module of inference was presented, as well. The rules of diagnostic inference were characterized and described based on which the process of inference is realized in the system.

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Author information

Authors and Affiliations

  1. Koszalin University of Technology, Raclawicka 15-17, 75-620, Koszalin, Poland

    Stanisław Duer

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  1. Stanisław Duer
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Correspondence to Stanisław Duer .

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Editors and Affiliations

  1. Faculty of Mechanical Engineering, Koszalin University of Technology, Koszalin, Poland

    Maciej Majewski

  2. Faculty of Mechanical Engineering, Koszalin University of Technology, Koszalin, Poland

    Wojciech Kacalak

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Duer, S. (2020). Application of Multi-valued State Assessment in an Intelligent System Diagnosing Hybrid Power System Devices. In: Majewski, M., Kacalak, W. (eds) Innovations Induced by Research in Technical Systems. IIRTS 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-37566-9_13

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  • DOI: https://doi.org/10.1007/978-3-030-37566-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37565-2

  • Online ISBN: 978-3-030-37566-9

  • eBook Packages: EngineeringEngineering (R0)

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