Cargando…

Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry

This article proposes the development of a novel tool that allows real-time monitoring of the balance of a press during the stamping process. This is performed by means of a virtual sensor that, by using the tonnage information in real time, allows us to calculate the gravity centre of a virtual loa...

Descripción completa

Detalles Bibliográficos
Autores principales: Peinado-Asensi, Ivan, Montés, Nicolás, García, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383569/
https://www.ncbi.nlm.nih.gov/pubmed/37514863
http://dx.doi.org/10.3390/s23146569
_version_ 1785080942702886912
author Peinado-Asensi, Ivan
Montés, Nicolás
García, Eduardo
author_facet Peinado-Asensi, Ivan
Montés, Nicolás
García, Eduardo
author_sort Peinado-Asensi, Ivan
collection PubMed
description This article proposes the development of a novel tool that allows real-time monitoring of the balance of a press during the stamping process. This is performed by means of a virtual sensor that, by using the tonnage information in real time, allows us to calculate the gravity centre of a virtual load that moves the slide up and down. The present development follows the philosophy shown in our previous work for the development of industrialised predictive systems, that is, the use of the information available in the system to develop IIoT tools. This philosophy is defined as I3oT (industrializable industrial Internet of Things). The tonnage data are part of a set of new criteria, called Criterion-360, used to obtain this information. This criterion stores data from a sensor each time the encoder indicates that the position of the main axis has rotated by one degree. Since the main axis turns in a complete cycle of the press, this criterion allows us to obtain information on the phases of the process and easily shows where the measured data are in the cycle. The new system allows us to detect anomalies due to imbalance or discontinuity in the stamping process by using the DBSCAN algorithm, which allows us to avoid unexpected stops and serious breakdowns. Tests were conducted to verify that our system actually detects minimal imbalances in the stamping process. Subsequently, the system was connected to normal production for one year. At the end of this work, we explain the anomalies detected as well as the conclusions of the article and future works.
format Online
Article
Text
id pubmed-10383569
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103835692023-07-30 Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry Peinado-Asensi, Ivan Montés, Nicolás García, Eduardo Sensors (Basel) Article This article proposes the development of a novel tool that allows real-time monitoring of the balance of a press during the stamping process. This is performed by means of a virtual sensor that, by using the tonnage information in real time, allows us to calculate the gravity centre of a virtual load that moves the slide up and down. The present development follows the philosophy shown in our previous work for the development of industrialised predictive systems, that is, the use of the information available in the system to develop IIoT tools. This philosophy is defined as I3oT (industrializable industrial Internet of Things). The tonnage data are part of a set of new criteria, called Criterion-360, used to obtain this information. This criterion stores data from a sensor each time the encoder indicates that the position of the main axis has rotated by one degree. Since the main axis turns in a complete cycle of the press, this criterion allows us to obtain information on the phases of the process and easily shows where the measured data are in the cycle. The new system allows us to detect anomalies due to imbalance or discontinuity in the stamping process by using the DBSCAN algorithm, which allows us to avoid unexpected stops and serious breakdowns. Tests were conducted to verify that our system actually detects minimal imbalances in the stamping process. Subsequently, the system was connected to normal production for one year. At the end of this work, we explain the anomalies detected as well as the conclusions of the article and future works. MDPI 2023-07-21 /pmc/articles/PMC10383569/ /pubmed/37514863 http://dx.doi.org/10.3390/s23146569 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peinado-Asensi, Ivan
Montés, Nicolás
García, Eduardo
Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry
title Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry
title_full Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry
title_fullStr Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry
title_full_unstemmed Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry
title_short Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry
title_sort virtual sensor of gravity centres for real-time condition monitoring of an industrial stamping press in the automotive industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383569/
https://www.ncbi.nlm.nih.gov/pubmed/37514863
http://dx.doi.org/10.3390/s23146569
work_keys_str_mv AT peinadoasensiivan virtualsensorofgravitycentresforrealtimeconditionmonitoringofanindustrialstampingpressintheautomotiveindustry
AT montesnicolas virtualsensorofgravitycentresforrealtimeconditionmonitoringofanindustrialstampingpressintheautomotiveindustry
AT garciaeduardo virtualsensorofgravitycentresforrealtimeconditionmonitoringofanindustrialstampingpressintheautomotiveindustry