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

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dc.contributor.author DUER, Stanisław
dc.contributor.author SCATICAILOV, Serghei
dc.contributor.author PAŚ, Jacek
dc.contributor.author DUER, Radosław
dc.contributor.author BERNATOWICZ, Dariusz
dc.date.accessioned 2022-04-06T10:13:11Z
dc.date.available 2022-04-06T10:13:11Z
dc.date.issued 2018
dc.identifier.citation DUER, Stanisław, SCATICAILOV, Serghei, PAŚ, Jacek et al. Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network. In: 22nd International Conference on Innovative Manufacturing Engineering and Energy - IManE&E 2018: MATEC Web Conf., 2018, V. 178, Art. N. 07003. en_US
dc.identifier.uri https://doi.org/10.1051/matecconf/201817807003
dc.identifier.uri http://repository.utm.md/handle/5014/20032
dc.description.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). en_US
dc.language.iso en en_US
dc.publisher EDP Sciences en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject complex technical objects en_US
dc.subject diagnostic information en_US
dc.subject diagnostic models en_US
dc.subject technical equipment en_US
dc.title Taking decisions in the diagnostic intelligent systems on the basis information from an artificial neural network en_US
dc.type Article en_US


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