Impact of COVID-19 on IoT adoption in healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT
COVID-19 has disrupted normal life and has enforced a substantial change in the policies,
priorities and activities of individuals, organisations and governments. These changes are …
priorities and activities of individuals, organisations and governments. These changes are …
Sampling methods for solving Bayesian model updating problems: A tutorial
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …
context of Bayesian model updating for engineering applications. Markov Chain Monte …
An efficient and robust sampler for Bayesian inference: Transitional ensemble Markov chain Monte Carlo
Bayesian inference is a popular approach towards parameter identification in engineering
problems. Such technique would involve iterative sampling methods which are often robust …
problems. Such technique would involve iterative sampling methods which are often robust …
Parametric study and shape optimization of piezoelectric energy harvesters by isogeometric analysis and kriging metamodeling
Piezo-electric energy harvesters (PEHs) are widely used to recycle waste vibrations for
powering small electronic devices. In this work, the performance of PEHs of non …
powering small electronic devices. In this work, the performance of PEHs of non …
A hybrid piezoelectric device combining a tri-stable energy harvester with an elastic base for low-orbit vibration energy harvesting enhancement
G Wang, Y Ju, WH Liao, Z Zhao, Y Li… - Smart Materials and …, 2021 - iopscience.iop.org
How to efficiently harvest the low-orbit vibration energy over a wide frequency range is one
main challenge of the piezoelectric energy harvester. In this paper, combining the …
main challenge of the piezoelectric energy harvester. In this paper, combining the …
Vibration control with piezoelectric elements: The indirect measurement of the modal capacitance and coupling factor
The knowledge of the modal capacitance and electro-mechanical coupling factor is
essential for a proper design of systems with embedded piezoelectric transducers and …
essential for a proper design of systems with embedded piezoelectric transducers and …
Electromechanical properties identification for groups of piezoelectric energy harvester based on Bayesian inference
A framework that allows the use of well-known dynamic estimators to infer the
electromechanical properties in Piezoelectric Energy Harvesters (PEHs) is presented here …
electromechanical properties in Piezoelectric Energy Harvesters (PEHs) is presented here …
On the uncertainty identification for linear dynamic systems using stochastic embedding approach with gaussian mixture models
In control and monitoring of manufacturing processes, it is key to understand model
uncertainty in order to achieve the required levels of consistency, quality, and economy …
uncertainty in order to achieve the required levels of consistency, quality, and economy …
Bayesian model class selection of nonlinear constitutive relationships for piezoelectric energy harvesters with small set of observations
The demand for efficient energy harvesting from vibratory environments has notably
increased with the proliferation of piezoelectric devices. However, mismatches between …
increased with the proliferation of piezoelectric devices. However, mismatches between …
Uncertainty analysis of piezoelectric vibration energy harvesters using a finite element level-based maximum entropy approach
XQ Wang, Y Liao, MP Mignolet - … -ASME Journal of …, 2021 - asmedigitalcollection.asme.org
Quantifying effects of system-wide uncertainties (ie, affecting structural, piezoelectric, and/or
electrical components) in the analysis and design of piezoelectric vibration energy …
electrical components) in the analysis and design of piezoelectric vibration energy …