Adaptation of methods for cyclo-stationary processes for noisy structural health data

0577237 - ÚTAM 2024 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Fischer, Cyril - Bayer, Jan - Náprstek, Jiří - Urushadze, Shota
Adaptation of methods for cyclo-stationary processes for noisy structural health data.
Computational mechanics 2023. Proceedings of computational mechanics 2023. Plzeň: University of West Bohemia, 2023 - (Adámek, V.; Jonášová, A.; Plánička, S.), s. 45-48. ISBN 978-80-261-1177-1.
[Computational mechanics 2023 /38./. Srní (CZ), 23.10.2023-25.10.2023]
Grant CEP: GA ČR(CZ) GC21-32122J
Institucionální podpora: RVO:68378297
Klíčová slova: data analysis * cyclo-stationary processes * structural health monitoring
Obor OECD: Civil engineering

In structural health analysis, various techniques, including indirect measurement via monitoring vehicles, often yield data with significant randomness and insufficient frequency separation. Conversely, the desired attributes under scrutiny are periodic in nature. Thus, methodologies designed to identify cyclo-stationary properties within noisy data can be adapted for such scenarios, assuming an adequate length of the recorded data.
Trvalý link: https://hdl.handle.net/11104/0346448