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Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface
A wireless impedance monitoring system, called SSeL-Pi, is designed to have cheap, mobile, and handy practical features as compared to wired commercial impedance analyzers. A Raspberry Pi platform impedance sensor node is designed to measure signals at a low-frequency range of up to 100 kHz. The low...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781527/ https://www.ncbi.nlm.nih.gov/pubmed/36559959 http://dx.doi.org/10.3390/s22249592 |
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author | Pham, Quang-Quang Ta, Quoc-Bao Park, Jae-Hyung Kim, Jeong-Tae |
author_facet | Pham, Quang-Quang Ta, Quoc-Bao Park, Jae-Hyung Kim, Jeong-Tae |
author_sort | Pham, Quang-Quang |
collection | PubMed |
description | A wireless impedance monitoring system, called SSeL-Pi, is designed to have cheap, mobile, and handy practical features as compared to wired commercial impedance analyzers. A Raspberry Pi platform impedance sensor node is designed to measure signals at a low-frequency range of up to 100 kHz. The low-frequency impedance measurement via the proposed node has been combined with a new PZT interface technique for measuring local responses sensitive to structural damage. The new PZT interface can work as a surface-mounted or embedded sensor, and its local dynamic characteristics are numerically analyzed to pre-determine an effective impedance resonant frequency range of less than 100 kHz. Next, a software scheme was designed to visualize the input/output parameters of the proposed SSeL-Pi system (i.e., Raspberry Pi platform and PZT interface) and automate signal acquisition procedures of the impedance sensor node. The calibration for impedance signals obtained from the proposed system was performed by a series of procedures, from acquiring real and imaginary impedance to adjusting them with respect to a commercial impedance analyzer (HIOKI-3532). The feasibility of the wireless impedance monitoring system was experimentally evaluated for PZT interfaces that were subjected to various compressive loadings. The consistent results analyzed from signals measured by the SSeL-Pi and HIOKI 3532 systems were observed. Additionally, the strong relationships between impedance features (frequency shift and RMSD index) and compressive stresses of the PZT interfaces showed the potential for axial force/stress variation monitoring in real structures using the Raspberry Pi platform impedance sensor node and developed PZT interface. |
format | Online Article Text |
id | pubmed-9781527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97815272022-12-24 Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface Pham, Quang-Quang Ta, Quoc-Bao Park, Jae-Hyung Kim, Jeong-Tae Sensors (Basel) Article A wireless impedance monitoring system, called SSeL-Pi, is designed to have cheap, mobile, and handy practical features as compared to wired commercial impedance analyzers. A Raspberry Pi platform impedance sensor node is designed to measure signals at a low-frequency range of up to 100 kHz. The low-frequency impedance measurement via the proposed node has been combined with a new PZT interface technique for measuring local responses sensitive to structural damage. The new PZT interface can work as a surface-mounted or embedded sensor, and its local dynamic characteristics are numerically analyzed to pre-determine an effective impedance resonant frequency range of less than 100 kHz. Next, a software scheme was designed to visualize the input/output parameters of the proposed SSeL-Pi system (i.e., Raspberry Pi platform and PZT interface) and automate signal acquisition procedures of the impedance sensor node. The calibration for impedance signals obtained from the proposed system was performed by a series of procedures, from acquiring real and imaginary impedance to adjusting them with respect to a commercial impedance analyzer (HIOKI-3532). The feasibility of the wireless impedance monitoring system was experimentally evaluated for PZT interfaces that were subjected to various compressive loadings. The consistent results analyzed from signals measured by the SSeL-Pi and HIOKI 3532 systems were observed. Additionally, the strong relationships between impedance features (frequency shift and RMSD index) and compressive stresses of the PZT interfaces showed the potential for axial force/stress variation monitoring in real structures using the Raspberry Pi platform impedance sensor node and developed PZT interface. MDPI 2022-12-07 /pmc/articles/PMC9781527/ /pubmed/36559959 http://dx.doi.org/10.3390/s22249592 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pham, Quang-Quang Ta, Quoc-Bao Park, Jae-Hyung Kim, Jeong-Tae Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface |
title | Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface |
title_full | Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface |
title_fullStr | Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface |
title_full_unstemmed | Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface |
title_short | Raspberry Pi Platform Wireless Sensor Node for Low-Frequency Impedance Responses of PZT Interface |
title_sort | raspberry pi platform wireless sensor node for low-frequency impedance responses of pzt interface |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781527/ https://www.ncbi.nlm.nih.gov/pubmed/36559959 http://dx.doi.org/10.3390/s22249592 |
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