Show simple item record

contributor authorBart Peeters
contributor authorGuido De Roeck
date accessioned2017-05-09T00:04:24Z
date available2017-05-09T00:04:24Z
date copyrightDecember, 2001
date issued2001
identifier issn0022-0434
identifier otherJDSMAA-26291#659_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124922
description abstractThis paper reviews stochastic system identification methods that have been used to estimate the modal parameters of vibrating structures in operational conditions. It is found that many classical input-output methods have an output-only counterpart. For instance, the Complex Mode Indication Function (CMIF) can be applied both to Frequency Response Functions and output power and cross spectra. The Polyreference Time Domain (PTD) method applied to impulse responses is similar to the Instrumental Variable (IV) method applied to output covariances. The Eigensystem Realization Algorithm (ERA) is equivalent to stochastic subspace identification.
publisherThe American Society of Mechanical Engineers (ASME)
titleStochastic System Identification for Operational Modal Analysis: A Review
typeJournal Paper
journal volume123
journal issue4
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.1410370
journal fristpage659
journal lastpage667
identifier eissn1528-9028
keywordsSpectra (Spectroscopy)
keywordsAlgorithms
keywordsShapes
keywordsStochastic systems
keywordsDamping
keywordsParameter estimation
keywordsEigenvalues
keywordsImpulse (Physics) AND White noise
treeJournal of Dynamic Systems, Measurement, and Control:;2001:;volume( 123 ):;issue: 004
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record