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Estimation of the Propagation of Flexural Waves in Thin Plates Using a Single Low Cost Sensor
Department of Electrical-Electronics Engineering, Bulent Ecevit University, 67100, Zonguldak, Turkey.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.
Department of Electrical-Electronics Engineering, Bulent Ecevit University, 67100, Zonguldak, Turkey.
2019 (English)In: Iranian Journal of Science and Technology, Transactions of Electrical Engineering, ISSN 2228-6179, Vol. 43, no 3, p. 405-413Article in journal (Refereed) Published
Abstract [en]

This paper demonstrates how flexural wave propagation in a thin plate can be modeled by estimating the combined effect of the excitation source signal and the impulse response of the ultrasonic sensor. The wave propagation in the plate is modeled using the wave equation for the flexural wave mode. A theoretical model for flexural wave propagation in thin plates has been derived, and it has been compared with measurements excited by tapping gently on the surface. The combined effects of the excitation source signal and the impulse response of the low-cost piezoelectric sensor are modeled using finite-impulse response and/or infinite-impulse response filters. Thereafter, the performances of the selected filters are compared on estimating the wave propagation in a thin quartz glass plate. Results indicate that the most accurate estimation of wave propagation has been obtained using a linear phase filter which attributes all dispersions to the flexural wave.

Place, publisher, year, edition, pages
Springer, 2019. Vol. 43, no 3, p. 405-413
Keywords [en]
Flexural waves, Filtering, FIR/IIR, Estimation of wave propagation
National Category
Signal Processing Other Electrical Engineering, Electronic Engineering, Information Engineering Other Physics Topics
Research subject
Signal Processing; Electronic Systems
Identifiers
URN: urn:nbn:se:ltu:diva-71891DOI: 10.1007/s40998-018-0162-5ISI: 000476797600002Scopus ID: 2-s2.0-85069448755OAI: oai:DiVA.org:ltu-71891DiVA, id: diva2:1268184
Note

Validerad;2019;Nivå 2;2019-08-16 (johcin)

Available from: 2018-12-05 Created: 2018-12-05 Last updated: 2024-04-05Bibliographically approved

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Carlson, Johan E.Svanström, Erika

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