Szczegóły publikacji
Opis bibliograficzny
Damage detection based on voltage transfer ratio approach and Bayesian classifier / Michał Dziendzikowski, Mateusz HEESCH, Jakub GÓRSKI, Krzysztof Dragan, Ziemowit DWORAKOWSKI // W: European Workshop on Structural Health Monitoring : EWSHM 2022 : [EWSHM 2022 : 10th European Workshop on Structural Health Monitoring : Palermo, Italy, 4-7 July 2022], Vol. 3 / eds. Piervincenzo Rizzo, Alberto Milazzo. — Cham : Springer Nature Switzerland, cop. 2023. — (Lecture Notes in Civil Engineering ; ISSN 2366-2557 ; vol. 270). — ISBN: 978-3-031-07321-2; e-ISBN: 978-3-031-07322-9. — S. 150–159. — Bibliogr., Abstr. — Publikacja dostępna online od: 2022-06-22
Autorzy (5)
- Dziendzikowski Michał
- AGHHeesch Mateusz
- AGHGórski Jakub
- Dragan Krzysztof
- AGHDworakowski Ziemowit
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 141383 |
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Data dodania do BaDAP | 2022-08-30 |
DOI | 10.1007/978-3-031-07322-9_16 |
Rok publikacji | 2023 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Wydawca | Springer |
Czasopismo/seria | Lecture Notes in Civil Engineering |
Abstract
Structural damage can result in observable changes of the signal acquired by network of PZT sensors, due to elastic wave interaction with damage. There are two approaches how to utilize PZT sensors for SHM purposes. One of the approaches follows closely classical ultrasonic testing. In that case, short-pulse excitation of PZT transducers is used, thus guided wave packets can be scattered on different elements of structure, eventually also on the damage itself. The disturbance of the scattered wavefield is the basis of damage detection and evaluation. In the different approach harmonic excitation of PZT is used, thus steady elastic waves are excited in the structure. The signal can be gathered in the pulse-echo scheme, i.e., when a single transducer is used both as an actuator and a receiver of waves, as well in the pitch-catch scheme, when a pair of transducers is used. An approach for damage detection with use of a network of PZT sensors excited with harmonic signals in the pitch-catch scheme will be presented and its properties and damage detection capabilities will be discussed. In addition method for data classification based on the Bayesian approach will be demonstrated and compared to other approaches to data classification.