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.
Full text not available from this repository.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) |
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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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