Zobrazeno 1 - 10
of 222
pro vyhledávání: '"N. Dervilis"'
Publikováno v:
Wind Energy, Vol 26, Iss 10, Pp 1027-1048 (2023)
Abstract The present work investigates the performance of different features, extracted from vibration‐based data, for structural health monitoring of a 52‐meter wind turbine blade during fatigue testing. An active vibration monitoring system was
Externí odkaz:
https://doaj.org/article/7db39a9c8c3840a1a889fed0507a8b7b
Publikováno v:
Mechanical Systems and Signal Processing. 196:110300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c6b2f715368f21b5d85693555bbb2ba
https://doi.org/10.1016/j.ymssp.2023.110300
https://doi.org/10.1016/j.ymssp.2023.110300
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
A major problem of structural health monitoring (SHM) has been the prognosis of damage and the prediction of the remaining useful life of a structure. Both tasks depend on multiple parameters, many of which are often uncertain. A wide range of models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ab1e28d8450ed8d528fa980d552d03
http://arxiv.org/abs/2208.08666
http://arxiv.org/abs/2208.08666
Population-based structural health monitoring (PBSHM) offers a new viewpoint for structural health monitoring (SHM), allowing diagnostic information to be shared across populations of structures. By extending the set of available damage observations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::536e0f2c13a06e33eb900774e654905b
https://eprints.whiterose.ac.uk/184340/1/gnat_piper.pdf
https://eprints.whiterose.ac.uk/184340/1/gnat_piper.pdf
It has been shown that ultrasonic techniques work well for online measuring of circumferential oil film thickness profile in journal bearings; unfortunately, they can be limited by their measuring range and unable to capture details of the film all a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebf890d9edacb86f53527ed41f8f9500
http://arxiv.org/abs/2203.11719
http://arxiv.org/abs/2203.11719
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
The practical application of structural health monitoring (SHM) is often limited by the unavailability of labelled data. Transfer learning - specifically in the form of domain adaptation – gives rise to the possibility of leveraging information fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80da1bf0e521d4520301a2f14f289774
https://doi.org/10.12783/shm2021/36280
https://doi.org/10.12783/shm2021/36280
Publikováno v:
Proceedings of the 13th International Workshop on Structural Health Monitoring.
In structural health monitoring (SHM) and condition monitoring (CM) applications, the expense of testing programmes may be too high to obtain adequate datasets. When limited by the number of available data samples, one may rely on dimensional reducti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58317a3c24495ab6888e089ea330fbe1
https://doi.org/10.12783/shm2021/36281
https://doi.org/10.12783/shm2021/36281
Structural health monitoring (SHM) has been an active research area for the last three decades, and has accumulated a number of critical advances over that period, as can be seen in the literature. However, SHM is still facing challenges because of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c497dce37b0801ee357c0bb130190731