Modal Parameter Identification Using Particle Swarm Optimizaiton

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00240570" target="_blank" >RIV/68407700:21220/15:00240570 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Modal Parameter Identification Using Particle Swarm Optimizaiton

Original language description

In this paper, the applicability of Particle Swarm Optimization (PSO) to identify the modal parameters will be tested. PSO is a heuristic optimization method which does not require the calculation of the error derivatives with respect to the model parameters hence the Jacobian matrix formulation is not required. The modal parameters will estimated by optimizing the modal model using PSO in order to decrease the error between the modal model and the measured frequency response functions (FRFs) of the structure under test. The applicability of PSO to optimize the modal model is evaluated by means of real-life measurement example.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JT - Propulsion, engines and fuels

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal Of Systems Applications, Engineering & Development

ISSN

2074-1308

e-ISSN

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Volume of the periodical

2015

Issue of the periodical within the volume

9

Country of publishing house

GB - UNITED KINGDOM

Number of pages

7

Pages from-to

103-109

UT code for WoS article

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EID of the result in the Scopus database

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