In this work a Condition Monitor (CM) procedure has been applied to an automatic machine for cutting and bending of reinforcing bar, with the aim of classifying different wear levels of specific components, mainly using the information provided by sensors inside the system. The methodology has been applied to two different units of the considered machine, with the aim of testing its ability to distinguish different operating conditions in different points of the system. The results appear to be interesting and encouraging, showing a satisfactory ability to classify the different states of wear.

Use of internal sensors for the identification of wear conditions in automatic machines / Gaspari, Antonella; Natale, Emanuela; D'Emilia, Giulio; Dionisi, Giuliano. - (2020), pp. 63-68. (Intervento presentato al convegno Metrology for Industry 4.0 and IoT nel June 3-5 2020).

Use of internal sensors for the identification of wear conditions in automatic machines

antonella gaspari;
2020-01-01

Abstract

In this work a Condition Monitor (CM) procedure has been applied to an automatic machine for cutting and bending of reinforcing bar, with the aim of classifying different wear levels of specific components, mainly using the information provided by sensors inside the system. The methodology has been applied to two different units of the considered machine, with the aim of testing its ability to distinguish different operating conditions in different points of the system. The results appear to be interesting and encouraging, showing a satisfactory ability to classify the different states of wear.
2020
Metrology for Industry 4.0 and IoT
978-1-7281-4891-5
Use of internal sensors for the identification of wear conditions in automatic machines / Gaspari, Antonella; Natale, Emanuela; D'Emilia, Giulio; Dionisi, Giuliano. - (2020), pp. 63-68. (Intervento presentato al convegno Metrology for Industry 4.0 and IoT nel June 3-5 2020).
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/239150
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact