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A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil
Wear debris monitoring of lubricant oil is an important method to determine the health and failure mode of key components such as bearings and gears in rotatory machines. The permittivity of lubricant oil can be changed when the wear debris enters the oil. Capacitive sensing methods showed potential...
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/PMC8914893/ https://www.ncbi.nlm.nih.gov/pubmed/35270927 http://dx.doi.org/10.3390/s22051777 |
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author | Wang, Yishou Lin, Tingwei Wu, Diheng Zhu, Ling Qing, Xinlin Xue, Wendong |
author_facet | Wang, Yishou Lin, Tingwei Wu, Diheng Zhu, Ling Qing, Xinlin Xue, Wendong |
author_sort | Wang, Yishou |
collection | PubMed |
description | Wear debris monitoring of lubricant oil is an important method to determine the health and failure mode of key components such as bearings and gears in rotatory machines. The permittivity of lubricant oil can be changed when the wear debris enters the oil. Capacitive sensing methods showed potential in monitoring debris in lubricant due to the simple structure and good response. In order to improve the detection sensitivity and reliability, this study proposes a new coaxial capacitive sensor network featured with parallel curved electrodes and non-parallel plane electrodes. As a kind of through-flow sensor, the proposed capacitive sensor network can be in situ integrated into the oil pipeline. The theoretical models of sensing mechanisms were established to figure out the relationship between the two types of capacitive sensors in the sensor network. The intensity distributions of the electric field in the coaxial capacitive sensor network are simulated to verify the theoretical analysis, and the effects of different debris sizes and debris numbers on the capacitance values were also simulated. Finally, the theoretical model and simulation results were experimentally validated to verify the feasibility of the proposed sensor network. |
format | Online Article Text |
id | pubmed-8914893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89148932022-03-12 A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil Wang, Yishou Lin, Tingwei Wu, Diheng Zhu, Ling Qing, Xinlin Xue, Wendong Sensors (Basel) Article Wear debris monitoring of lubricant oil is an important method to determine the health and failure mode of key components such as bearings and gears in rotatory machines. The permittivity of lubricant oil can be changed when the wear debris enters the oil. Capacitive sensing methods showed potential in monitoring debris in lubricant due to the simple structure and good response. In order to improve the detection sensitivity and reliability, this study proposes a new coaxial capacitive sensor network featured with parallel curved electrodes and non-parallel plane electrodes. As a kind of through-flow sensor, the proposed capacitive sensor network can be in situ integrated into the oil pipeline. The theoretical models of sensing mechanisms were established to figure out the relationship between the two types of capacitive sensors in the sensor network. The intensity distributions of the electric field in the coaxial capacitive sensor network are simulated to verify the theoretical analysis, and the effects of different debris sizes and debris numbers on the capacitance values were also simulated. Finally, the theoretical model and simulation results were experimentally validated to verify the feasibility of the proposed sensor network. MDPI 2022-02-24 /pmc/articles/PMC8914893/ /pubmed/35270927 http://dx.doi.org/10.3390/s22051777 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 Wang, Yishou Lin, Tingwei Wu, Diheng Zhu, Ling Qing, Xinlin Xue, Wendong A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil |
title | A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil |
title_full | A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil |
title_fullStr | A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil |
title_full_unstemmed | A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil |
title_short | A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil |
title_sort | new in situ coaxial capacitive sensor network for debris monitoring of lubricating oil |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914893/ https://www.ncbi.nlm.nih.gov/pubmed/35270927 http://dx.doi.org/10.3390/s22051777 |
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