| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Bourbon, Gilles
STMicroelectronics (United Kingdom)
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2022Viscoelastic properties of plant fibers - Dynamic analysis and nanoindentation tests
- 2022Towards integrated health monitoring of bio-based composite structures : influence of acoustic emission sensor embedment on material integrity
- 2021CMUT-Based Sensor for Acoustic Emission Application: Experimental and Theoretical Contributions to Sensitivity Optimizationcitations
- 2020Towards a better understanding of the CMUTs potential for SHMapplications
- 2019Acoustic emission sensing using MEMS for structural health monitoring : demonstration of a newly designed Capacitive Micro machined Ultrasonic Transducer
- 2019Acoustic emission sensing using MEMS for structural health monitoring : demonstration of a newly designed Capacitive Micro machined Ultrasonic Transducer
- 2019CMUT sensors based on circular membranes array for SHM applications
- 2017Modal parameter identification of a CMUT membrane using response data only
- 2016Characterization of capacitive micromachined ultrasonic transducers
- 2000The two way shape memory effect of shape memory alloys: an experimental study and a phenomenological model
Places of action
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article
Modal parameter identification of a CMUT membrane using response data only
Abstract
International audience ; Capacitive micromachined ultrasonic transducers (CMUTs) are microelectromechanical systems used for the generation of ultrasounds. The fundamental element of the transducer is a clamped thin metallized membrane that vibrates under voltage variations. To control such oscillations and to optimize its dynamic response it is necessary to know the modal parameters of the membrane such as resonance frequency, damping and stiffness coefficients. The purpose of this work is to identify these parameters using only the time data obtained from the membrane center displacement. Dynamic measurements are conducted in time domain and we use two methods to identify the modal parameters: a subspace method based on an innovation model of the state-space representation and the continuous wavelet transform method based on the use of the ridge of the wavelet transform of the displacement. Experimental results are presented showing the effectiveness of these two procedures in modal parameter identification.