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Diagnostic system with an artificial neural network in diagnostics of an analogue technical object

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Abstract

This paper presents a method to control an operation process of a complex technical object, for example a car engine, with the use of trivalent diagnostic information. Also, a general diagram of the complex technical object was presented, and its internal structure was described. A diagnostic analysis was conducted, as a result of which sets of the functional elements of the object and its diagnostic signals were determined. Also, the methodology of the diagnostic examination of the technical system was presented. The result was a functional and diagnostic model, which constituted the basis for initial diagnostic information, which is provided by the sets of information concerning the elements of the basic modules and their output signals. The article also covers a diagnostic system which uses a DIAG computer programme for the recognition of the states of technical objects in trivalent logics. A programme was presented and described in an analytical form for diagnosis through an artificial neural network (ANN), which recognises the states of reparable technical objects in trivalent logics. The final results obtained from the computations conducted by the DIAG programme are presented in the table of the states of the object.

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Authors and Affiliations

  1. Department of Mechanics, Technical University of Koszalin, Racławicka 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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Duer, S. Diagnostic system with an artificial neural network in diagnostics of an analogue technical object. Neural Comput & Applic 19, 55–60 (2010). https://doi.org/10.1007/s00521-009-0234-6

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  • DOI: https://doi.org/10.1007/s00521-009-0234-6

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