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Evaluation of Smart Sensors for Subway Electric Motor Escalators through AHP-Gaussian Method.
Pereira, Ruan Carlos Alves; da Silva, Orivalde Soares; de Mello Bandeira, Renata Albergaria; Dos Santos, Marcos; de Souza Rocha, Claudio; Castillo, Cristian Dos Santos; Gomes, Carlos Francisco Simões; de Moura Pereira, Daniel Augusto; Muradas, Fernando Martins.
Afiliação
  • Pereira RCA; Military Engineering Institute-IME, Rio de Janeiro 22290-270, Brazil.
  • da Silva OS; Military Engineering Institute-IME, Rio de Janeiro 22290-270, Brazil.
  • de Mello Bandeira RA; Military Engineering Institute-IME, Rio de Janeiro 22290-270, Brazil.
  • Dos Santos M; Department of Production Engineering, Faculty of Engineering, Praia Vermelha Campus, Federal Fluminense University, Niteroi 22040-036, Brazil.
  • de Souza Rocha C; Department of Production Engineering, Faculty of Engineering, Praia Vermelha Campus, Federal Fluminense University, Niteroi 22040-036, Brazil.
  • Castillo CDS; Department of Production Engineering, Faculty of Engineering, Praia Vermelha Campus, Federal Fluminense University, Niteroi 22040-036, Brazil.
  • Gomes CFS; Department of Production Engineering, Faculty of Engineering, Praia Vermelha Campus, Federal Fluminense University, Niteroi 22040-036, Brazil.
  • de Moura Pereira DA; Production Engineering Department, Federal University of Campina Grande (UFCG), Campina Grande 58428-830, Brazil.
  • Muradas FM; Operational Research Department, Naval Systems Analysis Center (CASNAV), Rio de Janeiro 20091-000, Brazil.
Sensors (Basel) ; 23(8)2023 Apr 20.
Article em En | MEDLINE | ID: mdl-37112474
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil