TAKING DECISIONS IN THE DIAGNOSTIC INTELLIGENT SYSTEMS ON THE BASIS INFORMATION FROM AN ARTIFICIAL NEURAL NETWORK

  • Stanislaw Duer Technical University of Koszalin, Department of Mechanical Engineering
  • Jacek Pas Military University of Technology, Warsaw, Department of Electronic
  • Radoslaw Duer Technical University of Koszalin, Department of Electronics and Informatics
  • Dariusz Bernatowicz Technical University of Koszalin, Department of Electronics and Informatics
Keywords: intelligent system, servicing process, system modelling, expert system, artificial neural networks, knowledge base, diagnostics information

Abstract

This paper presents a method to control an operation process of a complex technical object, 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 theoretical results obtained in the present study were verified in practice on the example of a complex and reparable technical object. It belongs to the group of technical equipment for which a short time of shutdowns is required (an ineffective use of the object).

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Published
2017-03-31
How to Cite
Duer, S., Pas, J., Duer, R., & Bernatowicz, D. (2017). TAKING DECISIONS IN THE DIAGNOSTIC INTELLIGENT SYSTEMS ON THE BASIS INFORMATION FROM AN ARTIFICIAL NEURAL NETWORK. Nonconventional Technologies Review, 21(1). Retrieved from http://revtn.ro/index.php/revtn/article/view/171