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Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method

Low-severity multiple damage detection relies on sensing minute deviations in the vibrational or dynamical characteristics of the structure. The problem becomes complicated when the reference vibrational profile of the healthy structure and corresponding input excitation, is unavailable as frequentl...

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Autores principales: Nayyar, Ayisha, Baneen, Ummul, Ahsan, Muhammad, Zilqurnain Naqvi, Syed A, Israr, Asif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450278/
http://dx.doi.org/10.1177/00368504211064487
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author Nayyar, Ayisha
Baneen, Ummul
Ahsan, Muhammad
Zilqurnain Naqvi, Syed A
Israr, Asif
author_facet Nayyar, Ayisha
Baneen, Ummul
Ahsan, Muhammad
Zilqurnain Naqvi, Syed A
Israr, Asif
author_sort Nayyar, Ayisha
collection PubMed
description Low-severity multiple damage detection relies on sensing minute deviations in the vibrational or dynamical characteristics of the structure. The problem becomes complicated when the reference vibrational profile of the healthy structure and corresponding input excitation, is unavailable as frequently experienced in real-life scenarios. Detection methods that require neither undamaged vibrational profile (baseline-free) nor excitation information (output-only) constitute state-of-art in structural health monitoring. Unfortunately, their efficacy is ultimately limited by non-ideal input excitation masking crucial attributes of system response such as resonant frequency peaks beyond first (few) natural frequency(ies) which can better resolve the issue of multiple damage detection. This study presents an improved frequency response function curvature method which is both baseline-free and output-only. It employs the cepstrum technique to eliminate [Formula: see text] decay of higher resonance peaks caused by the temporal spread of real impulse excitation. Long-pass liftering screens out the bulk of low-frequency sensor noise along with the excitation. With more visible resonant peaks, the cepstrum purified frequency response functions (regenerated frequency response functions) register finer deviation from an estimated baseline frequency response function and yield an accurate damage index profile. The simulation and experimental results on the beam show that the proposed method can successfully locate multiple damages of severity as low as 5%.
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spelling pubmed-104502782023-08-26 Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method Nayyar, Ayisha Baneen, Ummul Ahsan, Muhammad Zilqurnain Naqvi, Syed A Israr, Asif Sci Prog Original Manuscript Low-severity multiple damage detection relies on sensing minute deviations in the vibrational or dynamical characteristics of the structure. The problem becomes complicated when the reference vibrational profile of the healthy structure and corresponding input excitation, is unavailable as frequently experienced in real-life scenarios. Detection methods that require neither undamaged vibrational profile (baseline-free) nor excitation information (output-only) constitute state-of-art in structural health monitoring. Unfortunately, their efficacy is ultimately limited by non-ideal input excitation masking crucial attributes of system response such as resonant frequency peaks beyond first (few) natural frequency(ies) which can better resolve the issue of multiple damage detection. This study presents an improved frequency response function curvature method which is both baseline-free and output-only. It employs the cepstrum technique to eliminate [Formula: see text] decay of higher resonance peaks caused by the temporal spread of real impulse excitation. Long-pass liftering screens out the bulk of low-frequency sensor noise along with the excitation. With more visible resonant peaks, the cepstrum purified frequency response functions (regenerated frequency response functions) register finer deviation from an estimated baseline frequency response function and yield an accurate damage index profile. The simulation and experimental results on the beam show that the proposed method can successfully locate multiple damages of severity as low as 5%. SAGE Publications 2022-01-04 /pmc/articles/PMC10450278/ http://dx.doi.org/10.1177/00368504211064487 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Manuscript
Nayyar, Ayisha
Baneen, Ummul
Ahsan, Muhammad
Zilqurnain Naqvi, Syed A
Israr, Asif
Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method
title Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method
title_full Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method
title_fullStr Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method
title_full_unstemmed Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method
title_short Damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method
title_sort damage detection based on output-only measurements using cepstrum analysis and a baseline-free frequency response function curvature method
topic Original Manuscript
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450278/
http://dx.doi.org/10.1177/00368504211064487
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