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Computer modeling of diagnostic systems (CROSBI ID 711982)

Prilog sa skupa u časopisu | sažetak izlaganja sa skupa | međunarodna recenzija

Dmitrieva, O. ; Altukhova, T. ; Mamuzić, Ilija Computer modeling of diagnostic systems // Metalurgija / Mamuzić, Ilija (ur.). 2022. str. 575-575

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

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Metalurgija

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