Nonlinear Analytical Model of Two Weakly Coupled MEMS Cantilevers for Mass Sensing Using Electrostatic Actuation

Autor: Toky Rabenimanana, Vincent Walter, Najib Kacem, Patrice Le Moal, Joseph Lardiès

Publikováno v: Proceedings, Vol 2, Iss 13, p 1084 (2018)

This paper presents a nonlinear analytical model of MEMS mass sensor, which is composed of two cantilevers of 98 µm and 100 µm length, 20 µm width and 1.3 µm thick. They are connected by a coupling beam and only the shortest cantilever is actuate

Externí odkaz: https://doaj.org/article/fd2cf773770f4a33b09d75bb77a9743c

A Variational Bayesian Clustering Approach to Acoustic Emission Interpretation Including Soft Labels

Autor: Martin Mbarga Nkogo, Emmanuel Ramasso, Patrice Le Moal, Gilles Bourbon

Publikováno v: Belief Functions: Theory and Applications ISBN: 9783031178009

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0cf52e6faec75efe5afcd85a40b00a0c
https://doi.org/10.1007/978-3-031-17801-6_3

Mass sensor using mode localization in two weakly coupled MEMS cantilevers with different lengths: Design and experimental model validation

Autor: Vincent Walter, Joseph Lardies, Patrice Le Moal, Najib Kacem, Toky Rabenimanana, Gilles Bourbon

Publikováno v: Sensors and Actuators A: Physical
Sensors and Actuators A: Physical, Elsevier, 2019, 295, pp.643-652
HAL

International audience; This paper presents a sensor using the mode localization phenomenon to detect a mass perturbation.It is composed of two cantilevers with different lengths and connected by a coupling beam. The shortcantilever is electrostatica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83dd805ca344f3d60ac77a047472e9ab
https://doi.org/10.1016/j.sna.2019.06.004

Compact Digital Microrobot Based on Multistable Modules

Autor: Philippe Lutz, Ismaïl Bouhadda, Yassine Haddab, Patrice Le Moal, Gilles Bourbon, Abdenbi Mohand-Ousaid

Publikováno v: 38th IEEE International Conference on Robotics and Automation (ICRA 2021)
38th IEEE International Conference on Robotics and Automation (ICRA 2021), May 2021, Xi'an (virtual), China. pp.1926-1933, ⟨10.1109/LRA.2021.3061003⟩
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters, IEEE 2021, 6 (2), pp.1926-1933. ⟨10.1109/LRA.2021.3061003⟩
ICRA 2021-38th IEEE International Conference on Robotics and Automation

International audience; Current digital microrobots are mainly composed of bistable modules and flexible structures. Unlike conventional microrobots, they are based on mechanical stability instead of complex control strategies in order to reach preci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66ff7dac59a0d9d76e28de52943ed326
https://hal.archives-ouvertes.fr/hal-03427007

Joint Optimization of the Number of Clusters and Their Parameters in Acoustic Emission Clustering

Autor: Gilles Bourbon, Gaël Chevallier, Emmanuel Ramasso, Benoit Verdin, Patrice Le Moal, Martin Mbarga Nkogo

Publikováno v: Lecture Notes in Civil Engineering ISBN: 9783030649074

Acoustic Emission (AE) is a non-destructive technique suitable for monitoring structural damages in complex systems. Interpretation of AE data is generally made by an unsupervised learning approach called clustering. A clustering method divides a dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::625afee5a162726576e372d52448011c
https://doi.org/10.1007/978-3-030-64908-1_10