Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure

Zhou, Yun-Lai; Maia, Nuno MM; Abdel Wahab, Magd

doi:10.1177/1077546316674544

Cited by 93Structural Health Monitoring TechniquesMachine Fault Diagnosis TechniquesUltrasonics and Acoustic Wave Propagation

Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure

Zhou, Yun-Lai, Maia, Nuno MM, Abdel Wahab, Magd·2018·Journal of Vibration and Control

DOI 10.1177/1077546316674544

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Abstract

Detecting structural damage in operational conditions still encounters some difficulties, especially in early-stage, as environmental varieties impose challenges in real engineering applications and may require large computational efforts in the structural health monitoring and potential maintenance. Unlike conventional strategies employing frequency response function or response data, a damage detection methodology is addressed in this study by employing transmissibility functions that retains a strong interrelation with structural damage or deterioration, in order to avoid the measurement of excitation, together with principal component analysis that leads to reduction in computational costs. In this procedure, transmissibility is extracted from the structural responses and main features are selected by principal component analysis for less computational costs. Then, via distance measures damage indicators are constructed for both intact and damaged states, and finally a numerical simulation with a clamped-clamped beam and a four-story benchmark are adopted to verify the applicability of the proposed procedure. The results demonstrate a good performance in structural damage detection.

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Acquired transmissibility functions are affected by noise due to measurement noises of accelerometers and numerical errors associated with estimators.
“Accordingly, the acquired TFs turn out to be affected by noise, due to both the measurement noises of the accelerometers and to the numerical errors associated to the estimators.”
From Vibration-based structural health monitoring exploiting a combination of convolutional neural networks and autoencoders for temperature effects neutralization (2022) · cites this paper as [47]
In real applications or laboratory tests, transmissibility functions are obtained by collecting measurements from accelerometers and calculating the associated frequency response functions using appropriate estimators.
“Note that, in real applications or laboratory tests the TFs are obtained by collecting measurements from accelerometers and by calculating the associated FRFs using appropriate estimators.”
From Vibration-based structural health monitoring exploiting a combination of convolutional neural networks and autoencoders for temperature effects neutralization (2022) · cites this paper as [47]

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Authors: Zhou, Y.-L., Maia, N. M., & Abdel Wahab, M.
Affiliations: Department of Civil and Environmental Engineering, National University of Singapore
University of Lisbon (PT)
Division of Computational Mechanics, Ton Duc Thang University, Ho Chi Minh City, Vietnam
ORCID: Maia, Nuno MM
Venue: Journal of Vibration and Control
Publisher: SAGE Publications
Published: 2016-10-20
Volume: 24
Issue: 10
Pages: 2001-2019
ISSN: 1077-5463 (ISSN-L)
1741-2986
DOI: 10.1177/1077546316674544
OpenAlex: W2537252005
Cited by: 92
References: 57
Citations by year: 2026: 2 · 2025: 8 · 2024: 2 · 2023: 12 · 2022: 10 · 2021: 5 · 2020: 8 · 2019: 7 · 2018: 8 · 2017: 29 · 2016: 1
FWCI: 20.84
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Journal of Vibration and Control (publishedVersion)
Ghent University Academic Bibliography (Ghent University) (submittedVersion)
Funders: Universiteit Gent
Fundação para a Ciência e a Tecnologia
Topics: Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
Keywords: structural damage detection, transmissibility function, principal component analysis, distance measures, damage index, structural health monitoring, feature selection, computational complexity reduction, clamped-clamped beam

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Damage detection using transmissibility compressed by principal component analysis enhanced with distance measure

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