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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/5/1777 |
| _version_ | 1797473772990627840 |
|---|---|
| author | Yishou Wang Tingwei Lin Diheng Wu Ling Zhu Xinlin Qing Wendong Xue |
| author_facet | Yishou Wang Tingwei Lin Diheng Wu Ling Zhu Xinlin Qing Wendong Xue |
| author_sort | Yishou Wang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T20:22:11Z |
| format | Article |
| id | doaj.art-3cfe290cd2384eb7a03eb23be933ea20 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T20:22:11Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3cfe290cd2384eb7a03eb23be933ea202023-11-23T23:46:06ZengMDPI AGSensors1424-82202022-02-01225177710.3390/s22051777A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating OilYishou Wang0Tingwei Lin1Diheng Wu2Ling Zhu3Xinlin Qing4Wendong Xue5School of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Aerospace Engineering, Xiamen University, Xiamen 361005, ChinaWear 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.https://www.mdpi.com/1424-8220/22/5/1777lubricant oilonline monitoringcapacitive sensor networkwear debris |
| spellingShingle | Yishou Wang Tingwei Lin Diheng Wu Ling Zhu Xinlin Qing Wendong Xue A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil Sensors lubricant oil online monitoring capacitive sensor network wear debris |
| 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 | lubricant oil online monitoring capacitive sensor network wear debris |
| url | https://www.mdpi.com/1424-8220/22/5/1777 |
| work_keys_str_mv | AT yishouwang anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT tingweilin anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT dihengwu anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT lingzhu anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT xinlinqing anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT wendongxue anewinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT yishouwang newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT tingweilin newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT dihengwu newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT lingzhu newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT xinlinqing newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil AT wendongxue newinsitucoaxialcapacitivesensornetworkfordebrismonitoringoflubricatingoil |