No Cover Image

Journal article 582 views

Interval model updating with irreducible uncertainty using the Kriging predictor / Hamed Haddad Khodaparast; John E Mottershead; Kenneth J Badcock

Mechanical Systems and Signal Processing, Volume: 25, Issue: 4, Pages: 1204 - 1226

Swansea University Author: Hamed, Haddad Khodaparast

Full text not available from this repository: check for access using links below.

Published in: Mechanical Systems and Signal Processing
ISSN: 0888-3270
Published: 2011
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa15775
Tags: Add Tag
No Tags, Be the first to tag this record!
Item Description: Stochastic model updating methods have emerged recently which take into account aleatoric (irreducible) uncertainties. However, the majority of the methods use probabilistic models. Funded by the European Union's 6th Framework Project, this paper proposed the use of possibilistic models (e.g. interval model) and developed an interval model updating technique. The results are validated experimentally. The method requires less measurement data for system identification, which led to significant saving in cost without sacrificing accuracy. This research has led to collaboration with DLR (German Aerospace Centre, http://www.dlr.de ).
College: College of Engineering
Issue: 4
Start Page: 1204
End Page: 1226