dc.creatorPeralta, Patricio
dc.creatorRuiz, Rafael O.
dc.creatorTaflanidis, Alexandros A.
dc.date.accessioned2020-05-28T22:30:04Z
dc.date.available2020-05-28T22:30:04Z
dc.date.created2020-05-28T22:30:04Z
dc.date.issued2020
dc.identifierMechanical Systems and Signal Processing 141 (2020) 106506
dc.identifier10.1016/j.ymssp.2019.106506
dc.identifierhttps://repositorio.uchile.cl/handle/2250/175074
dc.description.abstractThe model updating of the electro-mechanical properties of Piezoelectric Energy Harvesters (PEHs) using experimental data within a Bayesian inference setting is discussed. The implementation requires: a predictive model for the harvester response; an assumption for its prediction error; a prior multivariate probabilistic density function for the electromechanical properties; and experimental measurements of the harvester response. Different approaches are compared with respect to the Bayesian model updating, including point estimates of the updated properties based on Maximum a Posteriori and Maximum Likelihood Estimates, as well as a full description of the posterior density for the model characteristics, obtained through a Transitional Markov Chain Monte Carlo approach. A model class selection implementation is also discussed that allows for the consideration of some PEH properties as either deterministic or aleatoric (uncertain) variables. The overall framework offers an elegant approach to calibrate PEH numerical/analytical model or identify variability trends for the PEH manufacturing process.
dc.languageen
dc.publisherElsevier
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceMechanical Systems and Signal Processing
dc.subjectBayesian model updating
dc.subjectPiezoelectric Energy Harvesters
dc.subjectModel class selection
dc.subjectModel prediction error
dc.subjectElectro-mechanical properties identification
dc.titleBayesian identification of electromechanical properties in piezoelectric energy harvesters
dc.typeArtículo de revista


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