Electromechanical properties identification for groups of piezoelectric energy harvester based on Bayesian inference

Volume: 162, Pages: 108034 - 108034
Published: Jan 1, 2022
Abstract
A framework that allows the use of well-known dynamic estimators to infer the electromechanical properties in Piezoelectric Energy Harvesters (PEHs) is presented here. The framework is based on Bayesian inference applied over experimental results obtained from Frequency Response Functions (FRFs). The posterior probability density function is approximated adopting the Transitional Markov Chain Monte Carlo algorithm. A similar approach has been...
Paper Details
Title
Electromechanical properties identification for groups of piezoelectric energy harvester based on Bayesian inference
Published Date
Jan 1, 2022
Volume
162
Pages
108034 - 108034
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