The use of self organizing neural network for vibration unbalance assessment (CROSBI ID 591546)
Prilog sa skupa u zborniku | stručni rad | međunarodna recenzija
Podaci o odgovornosti
Lisjak, Dragutin ; Čala, Ivo ; Alić, Kostešić, Vesna
engleski
The use of self organizing neural network for vibration unbalance assessment
In the paper the possibility of using the self-organizing (Self Organizing Maps - SOM) neural network as a model for the assessment of vibration causes and respectively the assessment of vibration unbalance is presented. For a successful assessment of vibration unbalance the clustering of measurement data from a frequency spectrum (Hz, mm/s) is included in the model. The presented model of self-organizing neural network may be used as a template for the assessment, i.e. identification of other types of vibration loadings and also its integration in a CMMS system (Computerized Maintenance Management System) as an expert system for a decision making support is proposed.
vibration; unbalance; neural networks; self-organizing maps
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Podaci o prilogu
2012.
objavljeno
Podaci o matičnoj publikaciji
21th European Congress on Maintenance and Asset Management (EUROMAINTENANCE 2012) : proceedings
Beograd:
Podaci o skupu
European Congress on Maintenance and Asset Management (21 ; 2012)
predavanje
14.05.2012-16.05.2012
Beograd, Srbija