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A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method
Three-phase induction motors are widely diffused in the industrial environment. Many times, the rated power of three-phase induction motors is not properly chosen causing incorrect operating conditions from an energetic point of view. Monitoring the mechanical dimension of a new motor is helpful, sh...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865562/ https://www.ncbi.nlm.nih.gov/pubmed/33498639 http://dx.doi.org/10.3390/s21030754 |
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author | Ciancetta, Fabrizio Fiorucci, Edoardo Ometto, Antonio Fioravanti, Andrea Mari, Simone Segreto, Maria-Anna |
author_facet | Ciancetta, Fabrizio Fiorucci, Edoardo Ometto, Antonio Fioravanti, Andrea Mari, Simone Segreto, Maria-Anna |
author_sort | Ciancetta, Fabrizio |
collection | PubMed |
description | Three-phase induction motors are widely diffused in the industrial environment. Many times, the rated power of three-phase induction motors is not properly chosen causing incorrect operating conditions from an energetic point of view. Monitoring the mechanical dimension of a new motor is helpful, should an existing motor need to be replaced. This paper presents an IoT sensors network for monitoring the mechanical power produced by three-phase induction motors, adopting an indirect measuring method. The proposed technique can be easily adopted to monitor the mechanical power using only one line of current transducer, reducing the cost of the monitoring system. The proposed indirect measurement technique has been implemented on a low-cost IoT system, based on a Photon Particle SoC. The results show that the proposed IoT system can estimate the mechanical power with a relative error of within 8%. |
format | Online Article Text |
id | pubmed-7865562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78655622021-02-07 A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method Ciancetta, Fabrizio Fiorucci, Edoardo Ometto, Antonio Fioravanti, Andrea Mari, Simone Segreto, Maria-Anna Sensors (Basel) Communication Three-phase induction motors are widely diffused in the industrial environment. Many times, the rated power of three-phase induction motors is not properly chosen causing incorrect operating conditions from an energetic point of view. Monitoring the mechanical dimension of a new motor is helpful, should an existing motor need to be replaced. This paper presents an IoT sensors network for monitoring the mechanical power produced by three-phase induction motors, adopting an indirect measuring method. The proposed technique can be easily adopted to monitor the mechanical power using only one line of current transducer, reducing the cost of the monitoring system. The proposed indirect measurement technique has been implemented on a low-cost IoT system, based on a Photon Particle SoC. The results show that the proposed IoT system can estimate the mechanical power with a relative error of within 8%. MDPI 2021-01-23 /pmc/articles/PMC7865562/ /pubmed/33498639 http://dx.doi.org/10.3390/s21030754 Text en © 2021 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 | Communication Ciancetta, Fabrizio Fiorucci, Edoardo Ometto, Antonio Fioravanti, Andrea Mari, Simone Segreto, Maria-Anna A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method |
title | A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method |
title_full | A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method |
title_fullStr | A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method |
title_full_unstemmed | A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method |
title_short | A Low-Cost IoT Sensors Network for Monitoring Three-Phase Induction Motor Mechanical Power Adopting an Indirect Measuring Method |
title_sort | low-cost iot sensors network for monitoring three-phase induction motor mechanical power adopting an indirect measuring method |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865562/ https://www.ncbi.nlm.nih.gov/pubmed/33498639 http://dx.doi.org/10.3390/s21030754 |
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