Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy

Andò, B.; Baglio, S.; Bulsara, Adi R.; Marletta, Vincenzo

doi:10.3390/en14030754

Cited by 4 publications

(3 citation statements)

References 27 publications

(44 reference statements)

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“…In [55] the "constrained" STB energy harvester has been investigated in the case of a bi-directional (clockwisecounterclockwise) uniform circular motion in the range of angular positions (45 °-135 °). The power generated has been experimentally observed to be sufficient to power a wireless sensor node employing a dedicated power management module and a very low power Bluetooth low energy (BLE) module based on the STM IC blueNRG-1 system-on-chip.…”

Section: F (Hz)mentioning

confidence: 99%

A comparison of linear and non-linear strategies for energy harvesting from mechanical vibrations

et al. 2023

Self Cite

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Energy Harvesting strategies coupled with the improvement of electronics and the progressive reduction of power requirements have been widely recognized as fundamental to enable self-powered (or autonomous) devices. Among all the potential energy sources, kinetic energy stemming from mechanical vibrations has been particularly extensively investigated for EH purposes due to its characteristics of heterogeneity and ubiquity. To exploit such energy sources, a suitable coupling mechanism to convert vibrations into electric charge is required; it must take into account the wide frequency bandwidth of mechanical vibrations as encountered in everyday scenarios. This review offers an overview of linear vs. non-linear strategies for EH, with a specific focus on different approaches to implement efficient coupling mechanisms; the performances of the specific solutions covered in this work are discussed.

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Section: F (Hz)mentioning

confidence: 99%

A comparison of linear and non-linear strategies for energy harvesting from mechanical vibrations

et al. 2023

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“…With a known resonant frequency of the lever, it is possible to determine the vibrations based on the damping of the signal coming from the lever [33]. The physical feasibility of building such a sensor has been proven, and the current work concerns estimating potential errors [34]. This makes it possible to build self-powered vibration sensors based on a unique phenomenon.…”

Section: Directions Of Research Workmentioning

confidence: 99%

A System for Monitoring and Normative Qualification of Building Structure Vibrations Induced by Nearby Construction Works

Hypki,

Sumorek,

Kawecki

et al. 2023

Applied Sciences

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Mechanical action can damage physical objects, such as building structures. The transfer of energy to the ground through the falling mass, forming a crater, can cause kinematic forces in the soil medium. An effect of these forces, connected with the technology of geotechnical machines, is vibrations of the ground and building structures. When finding the energy impact on the object is difficult or even impossible, vibration monitoring and indirect estimation of the negative energy impact effects is possible. Commercial off-the-shelf solutions exist for vibration monitoring and recording, but they are dedicated to one application type and are relatively expensive. This paper presents a proprietary system for monitoring and recording vibrations of building objects transmitted through the ground. This allows for local registration and remote administration and presentation of data via a computer network. Vibrations can be analysed according to the requirements of developers and clients. The developed system shows that creating an effective approach for collecting data on building vibrations using components from different suppliers is possible. The waveforms collected using the system confirm the effectiveness and flexibility of the presented solution, providing a possibility of using the results to decide whether the vibrations are within the standard limits.

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“…B. Andò et al recently explored the possibility to exploit one device comprising piezoelectric transducers as both a nonlinear kinetic harvester and as a sensor to detect mechanical vibrations, thus labeling the system as a fully autonomous sensor that did not require an external power source. [ 191 ] In the system, the contribution to the output voltage due to the noise was used to unambiguously estimate the noise level using a thresholding and windowing algorithm. The device could operate in principle with energy autonomy in the presence of noisy vibrations superimposed on a subthreshold deterministic input signal, notwithstanding there was still use of electrical input in the experimental demonstration.…”

Section: Synergized Multiple Ferroelectric Functions For Distributed Intelligencementioning

confidence: 99%

Enabling Distributed Intelligence with Ferroelectric Multifunctionalities

et al. 2021

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Distributed intelligence involving a large number of smart sensors and edge computing are highly demanded under the backdrop of increasing cyber-physical interactive applications including internet of things. Here, the progresses on ferroelectric materials and their enabled devices promising energy autonomous sensors and smart systems are reviewed, starting with an analysis on the basic characteristics of ferroelectrics, including high dielectric permittivity, switchable spontaneous polarization, piezoelectric, pyroelectric, and bulk photovoltaic effects. As sensors, ferroelectrics can directly convert the stimuli to signals without requiring external power supply in principle. As energy transducers, ferroelectrics can harvest multiple forms of energy with high reliability and durability. As capacitors, ferroelectrics can directly store electrical charges with high power and ability of pulse-mode signal generation. Nonvolatile memories derived from ferroelectrics are able to realize digital processors and systems with ultralow power consumption, sustainable operation with intermittent power supply, and neuromorphic computing. An emphasis is made on the utilization of the multiple extraordinary functionalities of ferroelectrics to enable material-critical device innovations. The ferroelectric characteristics and synergistic functionality combinations are invaluable for realizing distributed sensors and smart systems with energy autonomy.

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Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy

Cited by 4 publications

References 27 publications

A comparison of linear and non-linear strategies for energy harvesting from mechanical vibrations

A comparison of linear and non-linear strategies for energy harvesting from mechanical vibrations

A System for Monitoring and Normative Qualification of Building Structure Vibrations Induced by Nearby Construction Works

Enabling Distributed Intelligence with Ferroelectric Multifunctionalities

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