Cyclostationarity and the cepstrum for operational modal analysis of mimo systems - part 1: modal parameter identification
Cyclostationarity and the cepstrum for operational modal analysis of mimo systems - part 1: modal parameter identification
This paper presents a new technique for operational modal analysis (OMA) of multiple input multiple output (MIMO) systems excited by at least one cyclostationary input with a unique cyclic frequency. The technique is based on two signal separation steps; the cyclostationary properties of the input are exploited to estimate the cyclic spectral density, effectively reducing the system from a MIMO to a single input multiple output (SIMO) situation, and curve-fitted in the cepstrum domain, which allows for the separation of the input and transfer function.
This technique is demonstrated using measurements taken on a steel beam test rig and a passenger rail vehicle. The performance of this technique is discussed and compared to traditional input/output modal analysis and an existing cepstrum-based OMA technique. It is shown that the technique is able to correctly identify modal parameters, but like other spectrum-based OMA techniques, long time records are required in order to obtain both smooth cyclic spectrum estimates and sufficient resolution for accurate damping estimates. The nature of the input may also inhibit its performance in the very low-frequency region.
cyclostationary signals, cepstrum, operational modal analysis
2441-2458
Hanson, D.
408ad2f8-9326-476c-bc9d-71652c0f8b1f
Randall, R.B.
870ff6d0-d3ca-453c-944a-a2bd96460d5f
Antoni, J.
e6f91647-f387-42aa-8fb8-f51bafb02f63
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5
Waters, T.P.
348d22f5-dba1-4384-87ac-04fe5d603c2f
Ford, R.A.J.
2ac377f3-64d7-4e12-a9d1-45ff1404eb6c
2007
Hanson, D.
408ad2f8-9326-476c-bc9d-71652c0f8b1f
Randall, R.B.
870ff6d0-d3ca-453c-944a-a2bd96460d5f
Antoni, J.
e6f91647-f387-42aa-8fb8-f51bafb02f63
Thompson, D.J.
bca37fd3-d692-4779-b663-5916b01edae5
Waters, T.P.
348d22f5-dba1-4384-87ac-04fe5d603c2f
Ford, R.A.J.
2ac377f3-64d7-4e12-a9d1-45ff1404eb6c
Hanson, D., Randall, R.B., Antoni, J., Thompson, D.J., Waters, T.P. and Ford, R.A.J.
(2007)
Cyclostationarity and the cepstrum for operational modal analysis of mimo systems - part 1: modal parameter identification.
Mechanical Systems and Signal Processing, 21 (6), .
(doi:10.1016/j.ymssp.2006.11.008).
Abstract
This paper presents a new technique for operational modal analysis (OMA) of multiple input multiple output (MIMO) systems excited by at least one cyclostationary input with a unique cyclic frequency. The technique is based on two signal separation steps; the cyclostationary properties of the input are exploited to estimate the cyclic spectral density, effectively reducing the system from a MIMO to a single input multiple output (SIMO) situation, and curve-fitted in the cepstrum domain, which allows for the separation of the input and transfer function.
This technique is demonstrated using measurements taken on a steel beam test rig and a passenger rail vehicle. The performance of this technique is discussed and compared to traditional input/output modal analysis and an existing cepstrum-based OMA technique. It is shown that the technique is able to correctly identify modal parameters, but like other spectrum-based OMA techniques, long time records are required in order to obtain both smooth cyclic spectrum estimates and sufficient resolution for accurate damping estimates. The nature of the input may also inhibit its performance in the very low-frequency region.
This record has no associated files available for download.
More information
Published date: 2007
Keywords:
cyclostationary signals, cepstrum, operational modal analysis
Identifiers
Local EPrints ID: 46590
URI: http://eprints.soton.ac.uk/id/eprint/46590
ISSN: 0888-3270
PURE UUID: ec3a0838-3117-4de6-80bc-d0873d9b7cfc
Catalogue record
Date deposited: 11 Jul 2007
Last modified: 16 Mar 2024 02:54
Export record
Altmetrics
Contributors
Author:
D. Hanson
Author:
R.B. Randall
Author:
J. Antoni
Author:
R.A.J. Ford
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics