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  4. A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring
 
research article

A Self-Powered and Battery-Free Vibrational Energy to Time Converter for Wireless Vibration Monitoring

Panayanthatta, Namanu
•
Clementi, Giacomo
•
Ouhabaz, Merieme
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November 1, 2021
Sensors

Wireless sensor nodes (WSNs) are the fundamental part of an Internet of Things (IoT) system for detecting and transmitting data to a master node for processing. Several research studies reveal that one of the disadvantages of conventional, battery-powered WSNs, however, is that they typically require periodic maintenance. This paper aims to contribute to existing research studies on this issue by exploring a new energy-autonomous and battery-free WSN concept for monitor vibrations. The node is self-powered from the conversion of ambient mechanical vibration energy into electrical energy through a piezoelectric transducer implemented with lead-free lithium niobate piezoelectric material to also explore solutions that go towards a greener and more sustainable IoT. Instead of implementing any particular sensors, the vibration measurement system exploits the proportionality between the mechanical power generated by a piezoelectric transducer and the time taken to store it as electrical energy in a capacitor. This helps reduce the component count with respect to conventional WSNs, as well as energy consumption and production costs, while optimizing the overall node size and weight. The readout is therefore a function of the time it takes for the energy storage capacitor to charge between two constant voltage levels. The result of this work is a system that includes a specially designed lead-free piezoelectric vibrational transducer and a battery-less sensor platform with Bluetooth low energy (BLE) connectivity. The system can harvest energy in the acceleration range [0.5 g-1.2 g] and measure vibrations with a limit of detection (LoD) of 0.6 g.

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Type
research article
DOI
10.3390/s21227503
Web of Science ID

WOS:000727985100001

Author(s)
Panayanthatta, Namanu
Clementi, Giacomo
Ouhabaz, Merieme
Costanza, Mario
Margueron, Samuel
Bartasyte, Ausrine
Basrour, Skandar
Bano, Edwige
Montes, Laurent
Dehollain, Catherine  
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Date Issued

2021-11-01

Publisher

MDPI

Published in
Sensors
Volume

21

Issue

22

Article Number

7503

Subjects

Chemistry, Analytical

•

Engineering, Electrical & Electronic

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Instruments & Instrumentation

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Chemistry

•

Engineering

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energy harvesting

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piezoelectric transducers

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vibrational sensors

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internet of things (iot)

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low power

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microcontroller

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bluetooth low energy

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wireless sensor network

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wireless sensor node

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sensor

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performance

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harvesters

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internet

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system

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green

•

iot

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SCI-STI-CD  
Available on Infoscience
December 18, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/183951
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