A Virtual Sensing Approach for Predictive Maintenance in Elevators

摘要

Condition monitoring is a crucial task for electromechanical system reliability and quality enhancement, which allows early electrical and mechanical faults detection, leading to a predictive maintenance. The aim of this paper is to analyze the feasibility of a virtual sensing approach to perform a health diagnosis in the context of elevators. The virtual sensing approach will make use of an electromechanical model of the elevator and some measurements available in order to obtain several other physics (virtual sensors). A lab-scale elevator test bench will be used to test the methodology, obtaining several indicators and analyzing its evolution in time under specific fault conditions.