A Loewner-based system identification and structural health monitoring approach for mechanical systems

Simple item page
dc.contributor.authorDessena, Gabriele
dc.contributor.authorCivera, Marco
dc.contributor.authorZanotti Fragonara, Luca
dc.contributor.authorIgnatyev, Dmitry
dc.contributor.authorWhidborne, James F.
dc.date.accessioned2023-05-03T09:26:45Z
dc.date.available2023-05-03T09:26:45Z
dc.date.issued2023-04-18
dc.description.abstractData-driven structural health monitoring (SHM) requires precise estimates of the target system behaviour. In this sense, SHM by means of modal parameters is strictly linked to system identifcation (SI). However, existing frequency-domain SI techniques have several theoretical and practical drawbacks. This paper proposes using an input-output system identifcation technique based on rational interpolation, known as the Loewner framework (LF), to estimate the modal properties of mechanical systems. Pioneeringly, the Loewner framework mode shapes and natural frequencies estimated by LF are then applied as damage-sensitive features for damage detection. To assess its capability, the Loewner framework is validated on both numerical and experimental datasets and compared to established system identification techniques. Promising results are achieved in terms of accuracy and reliability.en_UK
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC): 2277626en_UK
dc.identifier.citationDessena G, Civera M, Zanotti Fragonara L, et al., (2023) A Loewner-based system identification and structural health monitoring approach for mechanical systems, Structural Control and Health Monitoring, Volume 2023, 2023, Article number 1891062en_UK
dc.identifier.issn1545-2255
dc.identifier.urihttps://doi.org/10.1155/2023/1891062
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19575
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA Loewner-based system identification and structural health monitoring approach for mechanical systemsen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Loewner-based_system_identification-2023.pdf
Size:
5.2 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SATM)