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Wireless Monitoring of Induction Machine Rotor Physical Variables
With the widespread use of electric machines, there is a growing need to extract information from the machines to improve their control systems and maintenance management. The present work shows the development of an embedded system to perform the monitoring of the rotor physical variables of a squi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712885/ https://www.ncbi.nlm.nih.gov/pubmed/29156564 http://dx.doi.org/10.3390/s17112660 |
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author | Doolan Fernandes, Jefferson Carvalho Souza, Francisco Elvis Cipriano Maniçoba, Glauco George Salazar, Andrés Ortiz de Paiva, José Alvaro |
author_facet | Doolan Fernandes, Jefferson Carvalho Souza, Francisco Elvis Cipriano Maniçoba, Glauco George Salazar, Andrés Ortiz de Paiva, José Alvaro |
author_sort | Doolan Fernandes, Jefferson |
collection | PubMed |
description | With the widespread use of electric machines, there is a growing need to extract information from the machines to improve their control systems and maintenance management. The present work shows the development of an embedded system to perform the monitoring of the rotor physical variables of a squirrel cage induction motor. The system is comprised of: a circuit to acquire desirable rotor variable(s) and value(s) that send it to the computer; a rectifier and power storage circuit that converts an alternating current in a continuous current but also stores energy for a certain amount of time to wait for the motor’s shutdown; and a magnetic generator that harvests energy from the rotating field to power the circuits mentioned above. The embedded system is set on the rotor of a 5 HP squirrel cage induction motor, making it difficult to power the system because it is rotating. This problem can be solved with the construction of a magnetic generator device to avoid the need of using batteries or collector rings and will send data to the computer using a wireless NRF24L01 module. For the proposed system, initial validation tests were made using a temperature sensor (DS18b20), as this variable is known as the most important when identifying the need for maintenance and control systems. Few tests have shown promising results that, with further improvements, can prove the feasibility of using sensors in the rotor. |
format | Online Article Text |
id | pubmed-5712885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-57128852017-12-07 Wireless Monitoring of Induction Machine Rotor Physical Variables Doolan Fernandes, Jefferson Carvalho Souza, Francisco Elvis Cipriano Maniçoba, Glauco George Salazar, Andrés Ortiz de Paiva, José Alvaro Sensors (Basel) Article With the widespread use of electric machines, there is a growing need to extract information from the machines to improve their control systems and maintenance management. The present work shows the development of an embedded system to perform the monitoring of the rotor physical variables of a squirrel cage induction motor. The system is comprised of: a circuit to acquire desirable rotor variable(s) and value(s) that send it to the computer; a rectifier and power storage circuit that converts an alternating current in a continuous current but also stores energy for a certain amount of time to wait for the motor’s shutdown; and a magnetic generator that harvests energy from the rotating field to power the circuits mentioned above. The embedded system is set on the rotor of a 5 HP squirrel cage induction motor, making it difficult to power the system because it is rotating. This problem can be solved with the construction of a magnetic generator device to avoid the need of using batteries or collector rings and will send data to the computer using a wireless NRF24L01 module. For the proposed system, initial validation tests were made using a temperature sensor (DS18b20), as this variable is known as the most important when identifying the need for maintenance and control systems. Few tests have shown promising results that, with further improvements, can prove the feasibility of using sensors in the rotor. MDPI 2017-11-18 /pmc/articles/PMC5712885/ /pubmed/29156564 http://dx.doi.org/10.3390/s17112660 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Doolan Fernandes, Jefferson Carvalho Souza, Francisco Elvis Cipriano Maniçoba, Glauco George Salazar, Andrés Ortiz de Paiva, José Alvaro Wireless Monitoring of Induction Machine Rotor Physical Variables |
title | Wireless Monitoring of Induction Machine Rotor Physical Variables |
title_full | Wireless Monitoring of Induction Machine Rotor Physical Variables |
title_fullStr | Wireless Monitoring of Induction Machine Rotor Physical Variables |
title_full_unstemmed | Wireless Monitoring of Induction Machine Rotor Physical Variables |
title_short | Wireless Monitoring of Induction Machine Rotor Physical Variables |
title_sort | wireless monitoring of induction machine rotor physical variables |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712885/ https://www.ncbi.nlm.nih.gov/pubmed/29156564 http://dx.doi.org/10.3390/s17112660 |
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