Original title: Adaptation of methods for cyclo-stationary processes for noisy structural health data
Authors: Fischer, Cyril ; Bayer, Jan ; Náprstek, Jiří ; Urushadze, Shota
Document type: Papers
Conference/Event: Computational mechanics 2023 /38./, Srní (CZ), 20231023
Year: 2023
Language: eng
Abstract: 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.
Keywords: cyclo-stationary processes; data analysis; structural health monitoring
Project no.: GC21-32122J (CEP)
Funding provider: GA ČR
Host item entry: Computational mechanics 2023. Proceedings of computational mechanics 2023, ISBN 978-80-261-1177-1

Institution: Institute of Theoretical and Applied Mechanics AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: https://hdl.handle.net/11104/0346448

Permalink: http://www.nusl.cz/ntk/nusl-536841


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Research > Institutes ASCR > Institute of Theoretical and Applied Mechanics
Conference materials > Papers