Evaluation of Smart Sensors for Subway Electric Motor Escalators through AHP-Gaussian Method

Evaluation of Smart Sensors for Subway Electric Motor Escalators through AHP-Gaussian Method

This paper proposes the use of the AHP-Gaussian method to support the selection of a smart sensor installation for an electric motor used in an escalator in a subway station. The AHP-Gaussian methodology utilizes the Analytic Hierarchy Process (AHP) framework and is highlighted for its ability to sa...

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Bibliographic Details
Main Authors:	Ruan Carlos Alves Pereira, Orivalde Soares da Silva, Renata Albergaria de Mello Bandeira, Marcos dos Santos, Claudio de Souza Rocha, Cristian dos Santos Castillo, Carlos Francisco Simões Gomes, Daniel Augusto de Moura Pereira, Fernando Martins Muradas
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Sensors
Subjects:	decision making 4.0 industry automation operational research subway predictive maintenance
Online Access:	https://www.mdpi.com/1424-8220/23/8/4131

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