Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network
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DUER , Stanislaw, SCATICAILOV, Serghei, PAS, Jacek, DUER, Radoslaw, BERNATOWICZ, Dariusz. Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network. In: MATEC Web of Conferences, 31 mai - 2 iunie 2018, Chişinău. Les Ulis: EDP Sciences, 2018, Vol. 178, Ediția 22-a, pp. 1-6. ISSN 2261236X. DOI: https://doi.org/10.1051/matecconf/201817807003
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MATEC Web of Conferences
Vol. 178, Ediția 22-a, 2018
Conferința "International Conference on Innovative Manufacturing Engineering and Energy"
Chişinău, Moldova, 31 mai - 2 iunie 2018

Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network

DOI:https://doi.org/10.1051/matecconf/201817807003

Pag. 1-6

Duer Stanislaw1, Scaticailov Serghei2, Pas Jacek3, Duer Radoslaw1, Bernatowicz Dariusz1
 
1 Koszalin University of Technology, Koszalin,
2 Technical University of Moldova,
3 Military University of Technology, Warsaw
 
 
Disponibil în IBN: 8 ianuarie 2022


Rezumat

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). 

Cuvinte-cheie
Intelligent systems, manufacture, Neural networks