Operating Deflection Shapes from Continuous-Scan LDV measurements using Time Synchronous Averaging

Mohammadi, M; Oberst, S; Halkon, B

Operating Deflection Shapes from Continuous-Scan LDV measurements using Time Synchronous Averaging

Mohammadi, M Oberst, S

Halkon, B

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Publisher:: Australian Acoustical Society ACOUSTICS2025: Acoustics 2025,
Publication Type:: Conference Proceeding
Citation:: Australian Acoustical Society, 2025, pp. 1-9
Issue Date:: 2025

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Field	Value	Language
dc.contributor.author	Mohammadi, M
dc.contributor.author	Oberst, S https://orcid.org/0000-0002-1388-2749
dc.contributor.author	Halkon, B
dc.date	2025-11-12
dc.date.accessioned	2026-06-01T07:45:00Z
dc.date.available	2026-06-01T07:45:00Z
dc.date.issued	2025
dc.identifier.citation	Australian Acoustical Society, 2025, pp. 1-9
dc.identifier.uri	http://hdl.handle.net/10453/195201
dc.description.abstract	Conventional Continuous-Scan Laser Doppler Vibrometry (CSLDV) methods for Operational Deflection Shape (ODS) extraction such as lifting and polynomial techniques rely on frequency-domain processing through Fast Fourier Transform (FFT) and analysis of spectral sideband peaks. These approaches face limitations under high noise conditions - including making measurements from vibrating platforms - where elevated noise floors prevent effective sideband identification. This paper presents a novel time-domain methodology that directly reconstructs ODSs from raw CSLDV signals, eliminating the need for manual spectral processing. After synchronising the scanning mirror galvanometers in the CSLDV to the vibrating frequency of the target, a kernel-based framework employing Gaussian weighted averaging is used to reduce the signal noise through inherent Time Synchronous Averaging properties. Experimental validation including under multi-axis shaker platform vibration confirms successful ODS reconstruction in noise and vibration degraded environments. For the first bending mode of vibration for a simple cantilever beam, agreement between the recovered ODS and an analytical model achieved a mean Modal Assurance Criterion (MAC) of 0.986 ± 0.007.
dc.language	en
dc.publisher	Australian Acoustical Society ACOUSTICS2025: Acoustics 2025,
dc.relation.ispartof	Australian Acoustical Society
dc.relation.ispartof	Acoustics
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Operating Deflection Shapes from Continuous-Scan LDV measurements using Time Synchronous Averaging
dc.type	Conference Proceeding
utslib.location.activity	Joondalup, Western Australia
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Transport Research Centre (TRC)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Audio, Acoustics and Vibration (CAAV)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Transport Research Centre (TRC)/Transport Research Centre (TRC) Associate Members
pubs.organisational-group	University of Technology Sydney/UTS Groups/AgHort Deep Sector Engagement Area
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2026-06-01T07:44:59Z
pubs.finish-date	2025-11-14
pubs.place-of-publication	Australia
pubs.publication-status	Published
pubs.start-date	2025-11-12
dc.location	Australia

Abstract:

Conventional Continuous-Scan Laser Doppler Vibrometry (CSLDV) methods for Operational Deflection Shape (ODS) extraction such as lifting and polynomial techniques rely on frequency-domain processing through Fast Fourier Transform (FFT) and analysis of spectral sideband peaks. These approaches face limitations under high noise conditions - including making measurements from vibrating platforms - where elevated noise floors prevent effective sideband identification. This paper presents a novel time-domain methodology that directly reconstructs ODSs from raw CSLDV signals, eliminating the need for manual spectral processing. After synchronising the scanning mirror galvanometers in the CSLDV to the vibrating frequency of the target, a kernel-based framework employing Gaussian weighted averaging is used to reduce the signal noise through inherent Time Synchronous Averaging properties. Experimental validation including under multi-axis shaker platform vibration confirms successful ODS reconstruction in noise and vibration degraded environments. For the first bending mode of vibration for a simple cantilever beam, agreement between the recovered ODS and an analytical model achieved a mean Modal Assurance Criterion (MAC) of 0.986 ± 0.007.

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http://hdl.handle.net/10453/195201