Selection of noisy measurement locations for error reduction in static parameter identification

Masoud Sanayei, Oladipo Onipede, Suresh R. Babu

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

An incomplete set of noisy static force and displacement measurements is used for parameter identification of structures at the element level. Measurement location and the level of accuracy in the measured data can drastically affect the accuracy of the identified parameters. A heuristic method is presented to select a limited number of degrees of freedom (DOF) to perform a successful parameter identification and to reduce the impact of measurement errors on the identified parameters. This pretest simulation uses an error sensitivity analysis to determine the effect of measurement errors on the parameter estimates. The selected DOF can be used for nondestructive testing and health monitoring of structures. Two numerical examples, one for a truss and one for a frame, are presented to demonstrate that using the measurements at the selected subset of DOF can limit the error in the parameter estimates.

Original languageEnglish (US)
Pages (from-to)2299-2309
Number of pages11
JournalAIAA journal
Volume30
Issue number9
DOIs
StatePublished - Sep 1992

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Fingerprint

Dive into the research topics of 'Selection of noisy measurement locations for error reduction in static parameter identification'. Together they form a unique fingerprint.

Cite this