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LEHKÝ, D. NOVÁK, D. RAMÍK, Z. VEJVODA, S.
Original Title
Identifikace rozložení zatížení roštu podvozku velkostroje pomocí umělých neuronových sítí
English Title
Loading identification of the walking undercarriage frame of giant machine using artificial neural networks
Type
conference paper
Language
Czech
Original Abstract
The paper deals eith inverse analysis of loading the frame of walking undercarriage of the giant machine for the brown coal-mining at the open mine Bilina. An artificial neural network has been trained using virtually simulated random loading and displacements based on the undercarriage frame model. Elastic model containing shell and 3D elements was developed using FEM program SYSTUS. Measured data by certified IAM Laboratory was used - measured displacements of the frame. Based on these displacements loading of the frame can be identified using virtually trained artificial network. The procedure has been verified and preliminary promising results were obtained.
English abstract
Key words in English
Inverse analysis, neural network, simulated random
Authors
LEHKÝ, D.; NOVÁK, D.; RAMÍK, Z.; VEJVODA, S.
RIV year
2006
Released
11. 5. 2006
Location
Brno, ČR
ISBN
80-214-3164-4
Book
Dynamicky namáhané konstrukce DYNA 2006
Pages from
123
Pages to
130
Pages count
8
BibTex
@inproceedings{BUT24291, author="David {Lehký} and Drahomír {Novák} and Zdeněk {Ramík} and Stanislav {Vejvoda}", title="Identifikace rozložení zatížení roštu podvozku velkostroje pomocí umělých neuronových sítí", booktitle="Dynamicky namáhané konstrukce DYNA 2006", year="2006", pages="123--130", address="Brno, ČR", isbn="80-214-3164-4" }