Condition based Maintenance on Data Streams in Industry 4.0

Nadeem Iftikhar, Adrian Mihai Dohot

Research output: Chapter in Book/Report/Conference proceedingConference contribution to proceedingpeer-review

Abstract

An asset failure is costly for the manufacturing industry as it causes unplanned downtime. Unplanned downtime halts production lines, and can lead to productivity loss. One of the widely used methods to reduce downtime is to make use of condition based maintenance.
The goal of condition based maintenance is to monitor as well as detect present and/or upcoming asset failures and thus reduce unplanned downtime. A newly emerged phenomena is to monitor the asset condition at real-time. Thus, this paper presents the techniques to process data-in-motion in order to monitor the health and condition of industrial assets in real-time. The techniques presented in this paper require no historical and/or labeled data and work well on streaming data.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2022
EditorsHerve Panetto, Georg Weichhart, Alexander Smirnov, Kurosh Madani
Number of pages8
PublisherSCITEPRESS Digital Library
Publication date2022
Pages137-144
ISBN (Electronic)978-989-758-612-5
DOIs
Publication statusPublished - 2022
EventIN4PL 2022:: 3rd International Conference on Innovative Intelligent Industrial Production and Logistics - Valletta, Malta
Duration: 24 Oct 202226 Oct 2022
Conference number: 3
https://in4pl.scitevents.org/
https://in4pl.scitevents.org/?y=2022

Conference

ConferenceIN4PL 2022:
Number3
Country/TerritoryMalta
CityValletta
Period24/10/2226/10/22
OtherHybrid conference
Internet address

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