Smart Maintenance Lifecycle Management: A Design Proposal

Jan Zenisek, Letizia Nicoletti, Francesco Longo, Gabriele Traugott, Antonio Padovano, Michael Affenzeller

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

Abstract

Given the latest trends toward the implementation of Industry 4.0 principles, the proposed research work combines human assistance technologies such as Virtual and Augmented Reality with advanced data analysis techniques and tools to develop a comprehensive strategy for Predictive Maintenance planning and execution. On one hand, using Augmented and Virtual Reality technologies, workers are effectively assisted during maintenance operations towards better performances and lower error rates. On the other hand, Predictive Maintenance entails strategies for maintenance planning based on machines’ current conditions to avoid unnecessary overhauls. Thus a seamless integration of Virtual and Augmented Reality with Predictive Maintenance is envisaged to bring substantial advantages in terms of productivity and competitiveness enhancement for manufacturing systems and represents a step ahead toward the real implementation of the Industry 4.0 vision.
Original languageEnglish
Title of host publication29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
EditorsFrancesco Longo, Michael Affenzeller, Miquel Angel Piera, Agostino G. Bruzzone, Emilio Jimenez
Pages546-551
Number of pages6
ISBN (Electronic)9781510847651
Publication statusPublished - 2017
EventThe 29th European Modeling & Simulation Symposium EMSS 2017 - Barcelona, Spain
Duration: 18 Sep 201720 Sep 2017
http://www.msc-les.org/conf/emss2017/

Publication series

Name29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017

Conference

ConferenceThe 29th European Modeling & Simulation Symposium EMSS 2017
CountrySpain
CityBarcelona
Period18.09.201720.09.2017
Internet address

Keywords

  • Industry 4.0
  • Virtual / Augmented Reality
  • Data Stream Analysis
  • Predictive Maintenance
  • Symbolic Regression

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