Estimation of Tool Life in the Milling Process-Testing Regression Models.
CNC machine
IIoT
machine learning
smart manufacturing
tool condition monitoring
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
23 Nov 2023
23 Nov 2023
Historique:
received:
18
10
2023
revised:
17
11
2023
accepted:
22
11
2023
medline:
9
12
2023
pubmed:
9
12
2023
entrez:
9
12
2023
Statut:
epublish
Résumé
The article presents an attempt to identify an appropriate regression model for the estimation of cutting tool lifespan in the milling process based on the analysis of the R
Identifiants
pubmed: 38067719
pii: s23239346
doi: 10.3390/s23239346
pmc: PMC10708711
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Minister of Science and Higher Education of the Republic of Poland
ID : 027/RID/2018/19
Références
Sensors (Basel). 2020 Nov 27;20(23):
pubmed: 33261021
Int J Disaster Risk Reduct. 2022 Apr 1;72:102863
pubmed: 35223422