Signal processing for experimental modal analysis
Signal processing for experimental modal analysis
This paper is an overview of signal processing for modal analysis. The approach taken is to summarize some of the types of data that arise in modal analysis, to classify signal processing problems and to attempt to show the relevance of the latter to the former. It is intended to emphasize the diversity of approaches that may be applied and point to advanced methods that offer potential.
modal parameters, data classification, coherence, model order, inversion, non-stationarity, nonlinearity
41-59
Hammond, Joseph K.
9ee35228-a62c-4113-8394-1b24df97b401
Waters, Timothy P.
348d22f5-dba1-4384-87ac-04fe5d603c2f
2001
Hammond, Joseph K.
9ee35228-a62c-4113-8394-1b24df97b401
Waters, Timothy P.
348d22f5-dba1-4384-87ac-04fe5d603c2f
Hammond, Joseph K. and Waters, Timothy P.
(2001)
Signal processing for experimental modal analysis.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 359 (1778), .
(doi:10.1098/rsta.2000.0713).
Abstract
This paper is an overview of signal processing for modal analysis. The approach taken is to summarize some of the types of data that arise in modal analysis, to classify signal processing problems and to attempt to show the relevance of the latter to the former. It is intended to emphasize the diversity of approaches that may be applied and point to advanced methods that offer potential.
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Published date: 2001
Keywords:
modal parameters, data classification, coherence, model order, inversion, non-stationarity, nonlinearity
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Local EPrints ID: 10850
URI: http://eprints.soton.ac.uk/id/eprint/10850
ISSN: 1364-503X
PURE UUID: b56a0661-257e-4b19-9d50-69091cd22733
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Date deposited: 19 May 2005
Last modified: 15 Mar 2024 05:01
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Author:
Joseph K. Hammond
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