Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yishou, Lin, Tingwei, Wu, Diheng, Zhu, Ling, Qing, Xinlin, Xue, Wendong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784667866643038208
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
work_keys_str_mv AT wangyishou anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT lintingwei anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT wudiheng anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT zhuling anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT qingxinlin anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT xuewendong anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT wangyishou newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT lintingwei newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT wudiheng newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT zhuling newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT qingxinlin newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil
AT xuewendong newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil