Artificial Neural Networks Application in Modal Analysis of Tires

P. Koštial; Z. Jančíková; D. Bakošová; J. Valíček; M. Harničárová; I. Špička

doi:10.2478/msr-2013-0040

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Artificial Neural Networks Application in Modal Analysis of Tires

Measurement Science Review

Volume 13 (2013): Issue 5 (October 2013)

By: P. Koštial, Z. Jančíková, D. Bakošová, J. Valíček, M. Harničárová and I. Špička

Open Access

|Nov 2013

Abstract

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.

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Articles in this issue

DOI: https://doi.org/10.2478/msr-2013-0040 | Journal eISSN: 1335-8871

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Language: English

Page range: 273 - 278

Published on: Nov 2, 2013

Published by: Slovak Academy of Sciences, Institute of Measurement Science

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

ESPI,

Related subjects:

Electrical engineering,

Control engineering, metrology and testing

© 2013 P. Koštial, Z. Jančíková, D. Bakošová, J. Valíček, M. Harničárová, I. Špička, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons License.

Volume 13 (2013): Issue 5 (October 2013)