Artificial Neural Networks Application in Modal Analysis of Tires

被引：7

作者：

Kostial, P. ^{[1
]}

Jancikova, Z. ^{[2
]}

Bakosova, D. ^{[3
]}

Valicek, J. ^{[4
,5
]}

Harnicarova, M. ^{[4
,6
]}

Spicka, I. ^{[2
]}

机构：

[1] Tech Univ Ostrava, Fac Met & Mat Engn, Dept Mat Engn, Ostrava 70833, Czech Republic

[2] Tech Univ Ostrava, Fac Met & Mat Engn, Dept Automat & Comp Sci Met, Ostrava 70833, Czech Republic

[3] Univ Alexander Dubcek Trencin, Fac Ind Technol, Dept Phys Engn Mat, Puchov 02001, Slovakia

[4] Tech Univ Ostrava, Fac Min & Geol, Inst Phys, Ostrava 70833, Czech Republic

[5] Tech Univ Ostrava, Fac Met & Mat Engn, RMTVC, Ostrava 70833, Czech Republic

[6] Tech Univ Ostrava, Nanotechnol Ctr, Ostrava 70833, Czech Republic

来源：

MEASUREMENT SCIENCE REVIEW | 2013年 / 13卷 / 05期

关键词：

ESPI; modal analysis; neural networks; tires; MECHANICAL-PROPERTIES; PREDICTION; PLATES;

D O I：

10.2478/msr-2013-0040

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

The paper deals with the application of artificial neural networks (ANN) to tires' own frequency (OF) prediction depending on a tire construction. Experimental data of OF were obtained by electronic speckle pattern interferometry (ESPI). A very good conformity of both experimental and predicted data sets is presented here. The presented ANN method applied to ESPI experimental data can effectively help designers to optimize dimensions of tires from the point of view of their noise.

引用

页码：273 / 278

页数：6

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