Computer modeling of diagnostic systems (CROSBI ID 711982)
Prilog sa skupa u časopisu | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Dmitrieva, O. ; Altukhova, T. ; Mamuzić, Ilija
engleski
Computer modeling of diagnostic systems
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.
computer modeling ; diagnostic systems
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Podaci o prilogu
575-575.
2022.
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objavljeno
Podaci o matičnoj publikaciji
Metalurgija
Mamuzić, Ilija
Zagreb: Hrvatsko metalurško društvo
0543-5846
1334-2576
Podaci o skupu
15th International Symposium of Croatian Metallurgical Society (SHMD '22)
poster
22.03.2022-23.03.2022
Zagreb, Hrvatska
Povezanost rada
Metalurgija