Modeling sensor networks for predictive maintenance

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

1 Citation (Scopus)

Abstract

Predictive Maintenance is one of the most intensively investigated topics in the current Industry 4.0 movement. It aims at scheduling maintenance actions based on industrial production plants’ past and current condition and therefore incorporates other trending technological developments such as the Internet of Things, Cyber-Physical Systems or Big Data Analytics. In this short paper we motivate the employment of machine learning algorithms to detect changing behavior as indication for the necessity of maintenance on a microscopic level and describe how cyber-physical environments benefit from this approach.

Original languageEnglish
Title of host publicationOn the Move to Meaningful Internet Systems
Subtitle of host publicationOTM 2018 Workshops - Confederated International Workshops: EI2N, FBM, ICSP, and Meta4eS 2018, Revised Selected Papers
EditorsPeter Bollen, Ioana Ciuciu, Robert Meersman, Hervé Panetto, Wided Guédria, Christophe Debruyne
PublisherSpringer Verlag
Pages184-188
Number of pages5
ISBN (Print)9783030116828
DOIs
Publication statusPublished - 2019
EventConfederated International Workshop on Enterprise Integration, Interoperability and Networking (EI2N ), Fact Based Modeling ( FBM), Industry Case Studies Program ( ICSP ), and International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (Meta4eS), OTM 2018 - Valletta, Malta
Duration: 22 Oct 201826 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11231 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceConfederated International Workshop on Enterprise Integration, Interoperability and Networking (EI2N ), Fact Based Modeling ( FBM), Industry Case Studies Program ( ICSP ), and International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (Meta4eS), OTM 2018
CountryMalta
CityValletta
Period22.10.201826.10.2018

Keywords

  • Digital twin
  • Machine learning
  • Predictive maintenance

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