The use of self organizing neural network for vibration unbalance assessment

Lisjak, Dragutin and Čala, Ivo and Alić, Kostešić (2012) The use of self organizing neural network for vibration unbalance assessment. = The use of self organizing neural network for vibration unbalance assessment. In: European Congress on Maintenance and Asset Management (21 ; 2012), 14.-16.05.2012., Beograd, Srbija.

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Abstract

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.

Item Type:	Conference or Workshop Item (Lecture)
Keywords (Croatian):	vibration, unbalance, neural networks, self-organizing maps
Subjects:	TECHNICAL SCIENCE > Mechanical Engineering
Divisions:	700 Department of Industrial Engineering 700 Department of Industrial Engineering > 720 Chair of Production Control
Indexed in Web of Science:	No
Indexed in Current Contents:	No
Date Deposited:	30 Jun 2016 15:14
Last Modified:	21 Feb 2018 11:55
URI:	http://repozitorij.fsb.hr/id/eprint/6030

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