Classification of elements in the diagnostic model of a technical object for building an expert knowledge base

• Autorzy: Duer S. , Pokoradi L. , Bernatowicz D. , Duer R.
• Języki publikacji: EN

Abstrakty

EN

The following paper presents the problem of classification (identification) elements in the internal structure of a technical object. This problem is directly linked with diagnostics and compilation of an expert data base. The basis of a process of grouping elements into classes is to make a diagnostic model of a given object in a form of a structure or set of basic elements of an object. In order to conduct the grouping of elements into subsets of s-th classes, the following paper compiles and presents analytical formulas and classification rules. Theoretical considerations presented in this paper are also verified using an engine control system as an example of a complex technical object.

Słowa kluczowe

EN

expert system; diagnostic system; expert knowledge base; technical diagnostic; algorithm; artificial intelligence

PL

systemy ekspertowy; system diagnostyczny; baza wiedzy eksperckiej; diagnostyka techniczna; algorytm; sztuczna inteligencja

• Wydawca: Wydawnictwo Uczelniane Politechniki Koszalińskiej
• Czasopismo: Journal of Mechanical and Energy Engineering
• Rocznik: 2017
• Tom: Vol. 1, No 1
• Strony: 71--78
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Duer S.

• Faculty of Mechanical Engineering, Department of Energy Engineering , Koszalin University of Technology, 15-17 Raclawicka St., 75-620 Koszalin, Poland

autor

Pokoradi L.

• Faculty of Mechanical and Safety Engineering, Institute of Mechatronics and Vehicle Engineering, Óbuda University, Budapest, H-1081 Budapest, Népszinház u. 8

autor

Bernatowicz D.

• Faculty of Electronics and Informatics, Department of Informatics, Koszalin University of Technology, 2 Śniadeckich St., 75-453 Koszalin, Poland

autor

Duer R.

• Faculty of Electronics and Informatics, Department of Informatics, Koszalin University of Technology, 2 Śniadeckich St., 75-453 Koszalin, Poland

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).