Detail publikace

Identifikace rozložení zatížení roštu podvozku velkostroje pomocí umělých neuronových sítí

LEHKÝ, D. NOVÁK, D. RAMÍK, Z. VEJVODA, S.

Originální název

Identifikace rozložení zatížení roštu podvozku velkostroje pomocí umělých neuronových sítí

Český název

Identifikace rozložení zatížení roštu podvozku velkostroje pomocí umělých neuronových sítí

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

cs

Originální abstrakt

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.

Český abstrakt

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.

Rok RIV

2006

Vydáno

11.05.2006

Místo

Brno, ČR

ISBN

80-214-3164-4

Kniha

Dynamicky namáhané konstrukce DYNA 2006

Strany od

123

Strany do

130

Strany počet

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",
  annote="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.",
  booktitle="Dynamicky namáhané konstrukce DYNA 2006",
  chapter="24291",
  year="2006",
  month="may",
  pages="123--130",
  type="conference paper"
}