Viviana Meruane
Cited by
Cited by
Deep learning enabled fault diagnosis using time-frequency image analysis of rolling element bearings
D Verstraete, A Ferrada, EL Droguett, V Meruane, M Modarres
Shock and Vibration 2017, 2017
An hybrid real genetic algorithm to detect structural damage using modal properties
V Meruane, W Heylen
Mechanical systems and signal processing 25 (5), 1559-1573, 2011
Identification of nonlinear dynamic coefficients in plain journal bearings
V Meruane, R Pascual
Tribology International 41 (8), 743-754, 2008
Convolutional neural networks for automated damage recognition and damage type identification
C Modarres, N Astorga, EL Droguett, V Meruane
Structural Control and Health Monitoring 25 (10), e2230, 2018
On the effect of downtime costs and budget constraint on preventive and replacement policies
R Pascual, V Meruane, PA Rey
Reliability Engineering & System Safety 93 (1), 144-151, 2008
Damage detection with parallel genetic algorithms and operational modes
V Meruane, W Heylen
Structural Health Monitoring 9 (6), 481-496, 2010
Structural damage assessment under varying temperature conditions
V Meruane, W Heylen
Structural Health Monitoring 11 (3), 345-357, 2012
Model updating using antiresonant frequencies identified from transmissibility functions
V Meruane
Journal of Sound and Vibration 332 (4), 807-820, 2013
Damage assessment in a sandwich panel based on full-field vibration measurements
F Seguel, V Meruane
Journal of Sound and Vibration 417, 1-18, 2018
Similitudes for the structural response of flexural plates
S De Rosa, F Franco, V Meruane
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2016
Real-time structural damage assessment using artificial neural networks and antiresonant frequencies
V Meruane, J Mahu
Shock and Vibration 2014, 2014
The effect of molecular weight and hydrolysis degree of poly (vinyl alcohol)(PVA) on the thermal and mechanical properties of poly (lactic acid)/PVA blends
I Restrepo, C Medina, V Meruane, A Akbari-Fakhrabadi, P Flores, ...
Polímeros 28, 169-177, 2018
Deep convolutional neural network-based structural damage localization and quantification using transmissibility data
S Cofre-Martel, P Kobrich, E Lopez Droguett, V Meruane
Shock and Vibration 2019, 2019
Ensemble classification method for structural damage assessment under varying temperature
M Fallahian, F Khoshnoudian, V Meruane
Structural Health Monitoring 17 (4), 747-762, 2018
Structural damage assessment using linear approximation with maximum entropy and transmissibility data
V Meruane, A Ortiz-Bernardin
Mechanical Systems and Signal Processing 54, 210-223, 2015
Structural damage assessment with antiresonances versus mode shapes using parallel genetic algorithms
V Meruane, W Heylen
Structural Control and Health Monitoring 18 (8), 825-839, 2011
Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings
DB Verstraete, EL Droguett, V Meruane, M Modarres, A Ferrada
Structural Health Monitoring 19 (2), 390-411, 2020
A broadband vibration-based energy harvester using an array of piezoelectric beams connected by springs
V Meruane, K Pichara
Shock and Vibration 2016, 2016
Uncertainties propagation and global sensitivity analysis of the frequency response function of piezoelectric energy harvesters
RO Ruiz, V Meruane
Smart Materials and Structures 26 (6), 065003, 2017
Online sequential extreme learning machine for vibration-based damage assessment using transmissibility data
V Meruane
Journal of Computing in Civil Engineering 30 (3), 04015042, 2016
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