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Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry

Scanning laser–Doppler vibrometry (SLDV) can localize and visualize damages in mechanical structures. In order to enable scanning, it is necessary to repeat the vibration. Therefore, this technique is not suited to detect emerging hazards in working machinery that change the vibration behavior. A co...

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Autores principales: Cao, Xiaodong, Rembe, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038392/
https://www.ncbi.nlm.nih.gov/pubmed/32013021
http://dx.doi.org/10.3390/s20030732
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author Cao, Xiaodong
Rembe, Christian
author_facet Cao, Xiaodong
Rembe, Christian
author_sort Cao, Xiaodong
collection PubMed
description Scanning laser–Doppler vibrometry (SLDV) can localize and visualize damages in mechanical structures. In order to enable scanning, it is necessary to repeat the vibration. Therefore, this technique is not suited to detect emerging hazards in working machinery that change the vibration behavior. A common technique for such cases is monitoring the vibration excited by machine operation with accelerometers. This technique requires mechanical coupling between sensors and the measurement object, which influences the high-frequency vibration responses. However, in the low-frequency range, local damages do not shift resonances or distort operational deflection shapes (ODS) significantly. These alterations in the vibration behavior are tiny and hard to detect. This paper shows that multipoint laservibrometry (MPV) with laser excitation can measure these effects efficiently, and it further demonstrates that damages influence ODSs at frequencies above 20 kHz much stronger than at frequencies below 20 kHz. In addition, ODS-based damage indices are discussed; these are highly sensitive to minute visible changes of the ODSs. In order to enhance the sensitivity of hazard detection, the response vector assurance criterion value is computed and evaluated during operation. The capabilities and limitations of the methodology on the example of a cantilever with manually emerging damage are demonstrated.
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spelling pubmed-70383922020-03-09 Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry Cao, Xiaodong Rembe, Christian Sensors (Basel) Article Scanning laser–Doppler vibrometry (SLDV) can localize and visualize damages in mechanical structures. In order to enable scanning, it is necessary to repeat the vibration. Therefore, this technique is not suited to detect emerging hazards in working machinery that change the vibration behavior. A common technique for such cases is monitoring the vibration excited by machine operation with accelerometers. This technique requires mechanical coupling between sensors and the measurement object, which influences the high-frequency vibration responses. However, in the low-frequency range, local damages do not shift resonances or distort operational deflection shapes (ODS) significantly. These alterations in the vibration behavior are tiny and hard to detect. This paper shows that multipoint laservibrometry (MPV) with laser excitation can measure these effects efficiently, and it further demonstrates that damages influence ODSs at frequencies above 20 kHz much stronger than at frequencies below 20 kHz. In addition, ODS-based damage indices are discussed; these are highly sensitive to minute visible changes of the ODSs. In order to enhance the sensitivity of hazard detection, the response vector assurance criterion value is computed and evaluated during operation. The capabilities and limitations of the methodology on the example of a cantilever with manually emerging damage are demonstrated. MDPI 2020-01-28 /pmc/articles/PMC7038392/ /pubmed/32013021 http://dx.doi.org/10.3390/s20030732 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cao, Xiaodong
Rembe, Christian
Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry
title Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry
title_full Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry
title_fullStr Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry
title_full_unstemmed Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry
title_short Non-Contact Damage Detection under Operational Conditions with Multipoint Laservibrometry
title_sort non-contact damage detection under operational conditions with multipoint laservibrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038392/
https://www.ncbi.nlm.nih.gov/pubmed/32013021
http://dx.doi.org/10.3390/s20030732
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