Literature DB >> 32113402

A highly precise cross-capacitive sensor for metal debris detection in insulating oil.

Tarikul Islam1, Mujeeb Yousuf1, Mohd Nauman2.   

Abstract

The presence of metal particles in lubricating oil produced during the wear and tear of mechanical equipment can harm its performance severely if not detected in time. Hence, the detection of such particles is necessary to predict and to prevent disastrous failures of the machines. This paper presents a new non-contact cross-capacitive sensor for the detection of metal particles in the lubricating oil. The sensor can detect each and every metal debris particle in the lubricating oil by monitoring the capacitance peak. The proposed capacitive sensor works on the principle of the Thompson-Lampard theorem. The sensor consists of four cylindrical electrodes with infinitesimal gaps wrapped around a hollow Teflon tube. The sensor has been modeled with finite element simulation software and then fabricated to verify the theory experimentally. Experimental results show that the capacitance value shows a sharp change in its value due to the presence of metal debris in the oil. The output of the sensor is highly precise (±0.82%) and accurate.

Entities:  

Year:  2020        PMID: 32113402     DOI: 10.1063/1.5139925

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  3 in total

1.  A Novel Impedance Micro-Sensor for Metal Debris Monitoring of Hydraulic Oil.

Authors:  Hongpeng Zhang; Haotian Shi; Wei Li; Laihao Ma; Xupeng Zhao; Zhiwei Xu; Chenyong Wang; Yucai Xie; Yuwei Zhang
Journal:  Micromachines (Basel)       Date:  2021-02-03       Impact factor: 2.891

Review 2.  Global impact of COVID-19 on agriculture: role of sustainable agriculture and digital farming.

Authors:  Adithya Sridhar; Akash Balakrishnan; Meenu Mariam Jacob; Mika Sillanpää; Nanditha Dayanandan
Journal:  Environ Sci Pollut Res Int       Date:  2022-03-08       Impact factor: 4.223

3.  A New In Situ Coaxial Capacitive Sensor Network for Debris Monitoring of Lubricating Oil.

Authors:  Yishou Wang; Tingwei Lin; Diheng Wu; Ling Zhu; Xinlin Qing; Wendong Xue
Journal:  Sensors (Basel)       Date:  2022-02-24       Impact factor: 3.576

  3 in total

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