Publicações

Optimizing Maintenance and Reducing Operating Costs by Analyzing Big Data and Applying Random Forest to Machine Operating Data

AuthID
P-018-G4Z

Author(s)

Cervi, GM

Mazetto, RF

Faioli, RA

Neto, GCDO

Amorim, M

Editor(es)

DosReis,JCG;Freires,FGM;Junior,MV;Barbastefano,RG;Sant'Anna,AMO

Tipo de Documento

Proceedings Paper

Year published

2025

Publicado

in INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT, XXX IJCIEOM in Springer Proceedings in Mathematics and Statistics, ISSN: 2194-1009

Volume: 483, Páginas: 347-356 (10)

Conference

30Th International Joint Conference on Industrial Engineering and Operations Management-Ijcieom, Date: JUN 26-28, 2024, Location: Salvador, BRAZIL

Indexing

Wos^®

Scopus^®

Google Scholar^®

Metadata
Fontes

Publication Identifiers

DOI: 10.1007/978-3-031-80785-5_27

SCOPUS: 2-s2.0-105001264861

Wos: WOS:001483153000027

Source Identifiers

ISSN: 2194-1009

Export Publication Metadata

Lista Marked

Adicionar à lista Marked

Info

At this moment we don't have any links to full text documens.

Optimizing Maintenance and Reducing Operating Costs by Analyzing Big Data and Applying Random Forest to Machine Operating Data

Links Úteis

Ajuda

Autenticação Federada (Clique na imagem)

Optimizing Maintenance and Reducing Operating Costs by Analyzing Big Data and Applying Random Forest to Machine Operating Data

Links Úteis

Ajuda