Naslov
Computer modeling of diagnostic systems

Autori
Dmitrieva, O. ; Altukhova, T. ; Mamuzić, Ilija

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of abstracts of the 15th International Symposium of Croatian Metallurgical Society - SHMD '2022, Materials and metallurgy (published in: Metalurgija 61 (2022) 2) / Mamuzić, Ilija - Zagreb : Hrvatsko metalurško društvo, 2022, 575-575

Skup
15th International Symposium of Croatian Metallurgical Society (SHMD '22)

Mjesto i datum
Zagreb, Hrvatska, 22.03.2022. - 23.03.2022

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
computer modeling ; diagnostic systems

Sažetak
The work is devoted to the solution of the actual scientifi c and technical problems, consisting of the substantiation, development, and study of computer models of the system for diagnosing the technical condition of electric motors. Mathematical models for diagnosing the technical condition of electric machines of mining machines based on the Bayesian statistical method, Petri nets, and cluster analysis have been developed using Kohonen neural networks, adaptive resonance, and extreme machine learning. The use of such models will increase the objectivity of diagnostics of the technical conditions of electromechanical equipment by conducting uninterrupted monitoring of energy-mechanical parameters in real-time.

Izvorni jezik
Engleski

Znanstvena područja
Metalurgija

POVEZANOST RADA