Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell Method

In this paper, a new method for characterizing the dielectric breakdown voltage of dielectric oils is presented, based on the IEC 60156 international standard. In this standard, the effective value of the dielectric breakdown voltage is obtained, but information is not provided on the distribution o...

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Main Authors: José Miguel Monzón-Verona, Pablo Ignacio González-Domínguez, Santiago García-Alonso, Jenifer Vaswani Reboso
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/21/7380
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author José Miguel Monzón-Verona
Pablo Ignacio González-Domínguez
Santiago García-Alonso
Jenifer Vaswani Reboso
author_facet José Miguel Monzón-Verona
Pablo Ignacio González-Domínguez
Santiago García-Alonso
Jenifer Vaswani Reboso
author_sort José Miguel Monzón-Verona
collection DOAJ
description In this paper, a new method for characterizing the dielectric breakdown voltage of dielectric oils is presented, based on the IEC 60156 international standard. In this standard, the effective value of the dielectric breakdown voltage is obtained, but information is not provided on the distribution of Kelvin forces an instant before the dynamic behavior of the arc begins or the state of the gases that are produced an instant after the moment of appearance of the electric arc in the oil. In this paper, the behavior of the oil before and after the appearance of the electric arc is characterized by combining a low-cost CMOS imaging sensor and a new matrix of electrical permittivity associated with the dielectric oil, using the 3D cell method. In this way, we also predict the electric field before and after the electric rupture. The error compared to the finite element method is less than 0.36%. In addition, a new method is proposed to measure the kinematic viscosity of dielectric oils. Using a low-cost imaging sensor, the distribution of bubbles is measured, together with their diameters and their rates of ascent after the electric arc occurs. This method is verified using ASTM standards and data provided by the oil manufacturer. The results of these tests can be used to prevent incipient failures and evaluate preventive maintenance processes such as transformer oil replacement or recovery.
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spelling doaj.art-26bbefb46e2b408dba75f7cb96315f242023-11-22T21:40:46ZengMDPI AGSensors1424-82202021-11-012121738010.3390/s21217380Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell MethodJosé Miguel Monzón-Verona0Pablo Ignacio González-Domínguez1Santiago García-Alonso2Jenifer Vaswani Reboso3Electrical Engineering Department (DIE), University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainElectrical Engineering Department (DIE), University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainDepartment of Electronic Engineering and Automatics (DIEA), University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainProcess Engineering Department (DIP), University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainIn this paper, a new method for characterizing the dielectric breakdown voltage of dielectric oils is presented, based on the IEC 60156 international standard. In this standard, the effective value of the dielectric breakdown voltage is obtained, but information is not provided on the distribution of Kelvin forces an instant before the dynamic behavior of the arc begins or the state of the gases that are produced an instant after the moment of appearance of the electric arc in the oil. In this paper, the behavior of the oil before and after the appearance of the electric arc is characterized by combining a low-cost CMOS imaging sensor and a new matrix of electrical permittivity associated with the dielectric oil, using the 3D cell method. In this way, we also predict the electric field before and after the electric rupture. The error compared to the finite element method is less than 0.36%. In addition, a new method is proposed to measure the kinematic viscosity of dielectric oils. Using a low-cost imaging sensor, the distribution of bubbles is measured, together with their diameters and their rates of ascent after the electric arc occurs. This method is verified using ASTM standards and data provided by the oil manufacturer. The results of these tests can be used to prevent incipient failures and evaluate preventive maintenance processes such as transformer oil replacement or recovery.https://www.mdpi.com/1424-8220/21/21/7380cell methoddielectric oil monitoringimaging sensorlow-cost sensorspermittivity matrix
spellingShingle José Miguel Monzón-Verona
Pablo Ignacio González-Domínguez
Santiago García-Alonso
Jenifer Vaswani Reboso
Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell Method
Sensors
cell method
dielectric oil monitoring
imaging sensor
low-cost sensors
permittivity matrix
title Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell Method
title_full Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell Method
title_fullStr Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell Method
title_full_unstemmed Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell Method
title_short Characterization of Dielectric Oil with a Low-Cost CMOS Imaging Sensor and a New Electric Permittivity Matrix Using the 3D Cell Method
title_sort characterization of dielectric oil with a low cost cmos imaging sensor and a new electric permittivity matrix using the 3d cell method
topic cell method
dielectric oil monitoring
imaging sensor
low-cost sensors
permittivity matrix
url https://www.mdpi.com/1424-8220/21/21/7380
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AT pabloignaciogonzalezdominguez characterizationofdielectricoilwithalowcostcmosimagingsensorandanewelectricpermittivitymatrixusingthe3dcellmethod
AT santiagogarciaalonso characterizationofdielectricoilwithalowcostcmosimagingsensorandanewelectricpermittivitymatrixusingthe3dcellmethod
AT jenifervaswanireboso characterizationofdielectricoilwithalowcostcmosimagingsensorandanewelectricpermittivitymatrixusingthe3dcellmethod