Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5191
DC FieldValueLanguage
dc.contributor.authorSaleh, Mahdien_US
dc.contributor.authorElhajj, Imad H.en_US
dc.contributor.authorAsmar, Danielen_US
dc.contributor.authorAntoun, Sallyen_US
dc.date.accessioned2021-11-25T08:47:20Z-
dc.date.available2021-11-25T08:47:20Z-
dc.date.issued2020-
dc.identifier.isbn9781728168012-
dc.identifier.issn19300395-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/5191-
dc.description.abstractMeasurement of oil's internal flow resistance, usually known as viscosity, is essential in several domains such as automotive and oil production. Although different types of viscometers are available in the market, several limitations affect their usability in real-time applications; mainly the requirement for calibration. In this paper, we introduce a new method for detecting the oil viscosity based on coplanar capacitive sensors. This method relies on analyzing the changes in the measured capacitance while the sensor is installed in a dynamic scheme; moving vertically in and out of an oil sample. Due to this new working principle, the proposed sensing system has several advantages over the commercially-available sensors in terms of low manufacturing cost, simplicity of operation, and online calibration capability.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.subjectAutomotiveen_US
dc.subjectcapacitive sensorsen_US
dc.subjectoil viscosityen_US
dc.subjectviscometeren_US
dc.titleReal-time Detection of Oil Viscosity Using Coplanar Capacitive Sensorsen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/SENSORS47125.2020.9278814-
dc.identifier.scopus2-s2.0-85098706966-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85098706966-
dc.contributor.affiliationIssam Fares Faculty of Technologyen_US
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=https://ieeexplore.ieee.org/document/9278814en_US
dc.relation.ispartoftextIEEE SENSORS (25-28 Oct, 2020 : Rotterdam-Netherlands)en_US
Appears in Collections:Department of Mechatronics Engineering
Show simple item record

SCOPUSTM   
Citations

1
checked on Nov 16, 2024

Record view(s)

105
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.