IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i3p754-d490712.html
   My bibliography  Save this article

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

Author

Listed:
  • Bruno Andò

    (Deptartment of Electric Electronic and Information Engineering (DIEEI), University of Catania, 95125 Catania, Italy)

  • Salvatore Baglio

    (Deptartment of Electric Electronic and Information Engineering (DIEEI), University of Catania, 95125 Catania, Italy)

  • Adi R. Bulsara

    (Naval Information Warfare Center Pacific, San Diego, CA 92152, USA)

  • Vincenzo Marletta

    (Deptartment of Electric Electronic and Information Engineering (DIEEI), University of Catania, 95125 Catania, Italy)

Abstract

This paper, for the first time, investigates the possibility of exploiting a nonlinear bistable snap-through buckling structure employing piezoelectric transducers, to implement an autonomous sensor of mechanical vibrations, with an embedded energy harvesting functionality. The device is operated in the presence of noisy vibrations superimposed on a subthreshold deterministic (sinusoidal) input signal. While the capability of the device to harvest a significant amount of energy has been demonstrated in previous works, here, we focus on the signal processing methodology aimed to extract from the sensor output the information about the noise level (in terms of the standard deviation) and the root mean square amplitude of the deterministic component. The developed methodology, supported by experimental evidence, removes the contribution to the overall piezoelectric output voltage ascribable to the deterministic component using a thresholding and windowing algorithm. The contribution to the output voltage due to the noise can be used to unambiguously estimate the noise level. Moreover, an analytical model to estimate, from the measurement of the output voltage, the RMS amplitude of the deterministic input and the noise-related component is proposed.

Suggested Citation

  • Bruno Andò & Salvatore Baglio & Adi R. Bulsara & Vincenzo Marletta, 2021. "Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy," Energies, MDPI, vol. 14(3), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:754-:d:490712
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/3/754/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/3/754/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:754-:d:490712. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.