A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage

This paper presents a methodology for creating a soft sensor for predicting the bearing wear of electrical machines. The technique is based on a combination of Park vector methods and a classifier based on an artificial neural network (ANN-classifier). Experiments are carried out in laboratory condi...

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Main Authors: Natalia Koteleva, Nikolay Korolev, Yuriy Zhukovskiy, Georgii Baranov
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/23/7900
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author Natalia Koteleva
Nikolay Korolev
Yuriy Zhukovskiy
Georgii Baranov
author_facet Natalia Koteleva
Nikolay Korolev
Yuriy Zhukovskiy
Georgii Baranov
author_sort Natalia Koteleva
collection DOAJ
description This paper presents a methodology for creating a soft sensor for predicting the bearing wear of electrical machines. The technique is based on a combination of Park vector methods and a classifier based on an artificial neural network (ANN-classifier). Experiments are carried out in laboratory conditions on an asynchronous motor of AIR132M4 brand. For the experiment, the inner rings of the bearing are artificially degraded. The filtered and processed data obtained from the installation are passed through the ANN-classifier. A method of providing the data into the classifier is shown. The result is a convergence of 99% and an accuracy of 98% on the test data.
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spelling doaj.art-ab85e02f159049d291fb46159da58cdd2023-11-23T03:00:53ZengMDPI AGSensors1424-82202021-11-012123790010.3390/s21237900A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and VoltageNatalia Koteleva0Nikolay Korolev1Yuriy Zhukovskiy2Georgii Baranov3Educational Research Center for Digital Technologies, Saint Petersburg Mining University, 191106 Saint Petersburg, RussiaEducational Research Center for Digital Technologies, Saint Petersburg Mining University, 191106 Saint Petersburg, RussiaEducational Research Center for Digital Technologies, Saint Petersburg Mining University, 191106 Saint Petersburg, RussiaDepartment of Robotics and Industrial Systems Automation, Saint Petersburg Electrotechnical University “LETI”, Professora Popova 5, 197376 Saint Petersburg, RussiaThis paper presents a methodology for creating a soft sensor for predicting the bearing wear of electrical machines. The technique is based on a combination of Park vector methods and a classifier based on an artificial neural network (ANN-classifier). Experiments are carried out in laboratory conditions on an asynchronous motor of AIR132M4 brand. For the experiment, the inner rings of the bearing are artificially degraded. The filtered and processed data obtained from the installation are passed through the ANN-classifier. A method of providing the data into the classifier is shown. The result is a convergence of 99% and an accuracy of 98% on the test data.https://www.mdpi.com/1424-8220/21/23/7900soft sensorPark’s vectorinduction motor bearingANN-classifier
spellingShingle Natalia Koteleva
Nikolay Korolev
Yuriy Zhukovskiy
Georgii Baranov
A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage
Sensors
soft sensor
Park’s vector
induction motor bearing
ANN-classifier
title A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage
title_full A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage
title_fullStr A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage
title_full_unstemmed A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage
title_short A Soft Sensor for Measuring the Wear of an Induction Motor Bearing by the Park’s Vector Components of Current and Voltage
title_sort soft sensor for measuring the wear of an induction motor bearing by the park s vector components of current and voltage
topic soft sensor
Park’s vector
induction motor bearing
ANN-classifier
url https://www.mdpi.com/1424-8220/21/23/7900
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