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

Author:

Pereira Ruan Carlos Alves1,da Silva Orivalde Soares1,de Mello Bandeira Renata Albergaria1,dos Santos Marcos2ORCID,de Souza Rocha Claudio2,Castillo Cristian dos Santos2,Gomes Carlos Francisco Simões2ORCID,de Moura Pereira Daniel Augusto3,Muradas Fernando Martins4

Affiliation:

1. Military Engineering Institute—IME, Rio de Janeiro 22290-270, Brazil

2. Department of Production Engineering, Faculty of Engineering, Praia Vermelha Campus, Federal Fluminense University, Niteroi 22040-036, Brazil

3. Production Engineering Department, Federal University of Campina Grande (UFCG), Campina Grande 58428-830, Brazil

4. Operational Research Department, Naval Systems Analysis Center (CASNAV), Rio de Janeiro 20091-000, Brazil

Abstract

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 save the decision maker’s cognitive effort in assigning weights to criteria. Seven criteria were defined for the sensor selection: temperature range, vibration range, weight, communication distance, maximum electric power, data traffic speed, and acquisition cost. Four smart sensors were considered as alternatives. The results of the analysis showed that the most appropriate sensor was the ABB Ability smart sensor, which scored the highest in the AHP-Gaussian analysis. In addition, this sensor could detect any abnormalities in the equipment’s operation, enabling timely maintenance and preventing potential failures. The proposed AHP-Gaussian method proved to be an effective approach for selecting a smart sensor for an electric motor used in an escalator in a subway station. The selected sensor was reliable, accurate, and cost-effective, contributing to the safe and efficient operation of the equipment.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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