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Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring
In recent years, multi-axis robots are indispensable in automated factories due to the rapid development of Industry 4.0. Many related processes were required to have the increasing demand for accuracy, reproducibility, and abnormal detection. The monitoring function and immediate feedback for corre...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387374/ https://www.ncbi.nlm.nih.gov/pubmed/30691134 http://dx.doi.org/10.3390/s19030507 |
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author | Du, Yi-Chun Lin, David T.W. Jen, Chun-Ping Ng, Choon Wei Chang, Chi-Ying Wen, Ya-Xuan |
author_facet | Du, Yi-Chun Lin, David T.W. Jen, Chun-Ping Ng, Choon Wei Chang, Chi-Ying Wen, Ya-Xuan |
author_sort | Du, Yi-Chun |
collection | PubMed |
description | In recent years, multi-axis robots are indispensable in automated factories due to the rapid development of Industry 4.0. Many related processes were required to have the increasing demand for accuracy, reproducibility, and abnormal detection. The monitoring function and immediate feedback for correction is more and more important. This present study integrated a highly sensitive lithium niobate (LiNbO(3)) vibration sensor as a sensor node (SN) and architecture of wireless mesh network (WMN) to develop a monitoring system (MS) for the robotic arm. The advantages of the thin-film LiNbO(3) piezoelectric sensor were low-cost, high-sensitivity and good electrical compatibility. The experimental results obtained from the vibration platform show that the sensitivity achieved 50 mV/g and the reaction time within 1 ms. The results of on-site testing indicated that the SN could be configured on the relevant equipment quickly and detect the abnormal vibration in specific equipment effectively. Each SN could be used more than 10 h at the 80 Hz transmission rate under WMN architecture and the loss rate of transmission was less than 0.01% within 20 m. |
format | Online Article Text |
id | pubmed-6387374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63873742019-02-26 Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring Du, Yi-Chun Lin, David T.W. Jen, Chun-Ping Ng, Choon Wei Chang, Chi-Ying Wen, Ya-Xuan Sensors (Basel) Article In recent years, multi-axis robots are indispensable in automated factories due to the rapid development of Industry 4.0. Many related processes were required to have the increasing demand for accuracy, reproducibility, and abnormal detection. The monitoring function and immediate feedback for correction is more and more important. This present study integrated a highly sensitive lithium niobate (LiNbO(3)) vibration sensor as a sensor node (SN) and architecture of wireless mesh network (WMN) to develop a monitoring system (MS) for the robotic arm. The advantages of the thin-film LiNbO(3) piezoelectric sensor were low-cost, high-sensitivity and good electrical compatibility. The experimental results obtained from the vibration platform show that the sensitivity achieved 50 mV/g and the reaction time within 1 ms. The results of on-site testing indicated that the SN could be configured on the relevant equipment quickly and detect the abnormal vibration in specific equipment effectively. Each SN could be used more than 10 h at the 80 Hz transmission rate under WMN architecture and the loss rate of transmission was less than 0.01% within 20 m. MDPI 2019-01-26 /pmc/articles/PMC6387374/ /pubmed/30691134 http://dx.doi.org/10.3390/s19030507 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Du, Yi-Chun Lin, David T.W. Jen, Chun-Ping Ng, Choon Wei Chang, Chi-Ying Wen, Ya-Xuan Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring |
title | Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring |
title_full | Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring |
title_fullStr | Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring |
title_full_unstemmed | Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring |
title_short | Development of a Wireless Mesh Sensing System with High-Sensitivity LiNbO(3) Vibration Sensors for Robotic Arm Monitoring |
title_sort | development of a wireless mesh sensing system with high-sensitivity linbo(3) vibration sensors for robotic arm monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387374/ https://www.ncbi.nlm.nih.gov/pubmed/30691134 http://dx.doi.org/10.3390/s19030507 |
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