Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Health and Performances Machine Tool Monitoring Architecture
GORATU M-H.
IK4-TEKNIKER.
IK4-TEKNIKER.
PREDICT.
Show others and affiliations
2014 (English)In: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications / [ed] Uday Kumar; Ramin Karim; Aditya Parida; Philip Tretten, Luleå: Luleå tekniska universitet, 2014, 139-144 p.Conference paper, Published paper (Refereed)
Abstract [en]

In order to face the high market competiveness, the Power-OMproject (http://power-om.eu/) aims at implementing a proactiveapproach for improving the machine tool performances. Forimplementing a proactive approach that helps monitoring machinetool performances, this paper presents a technical architecturewith two levels: the local and the remote one. In the local level,condition based maintenance strategy is implemented and realtime data is used for monitoring the local health of a machine. Afirst originality is to use the current analysis for assessing thehealth status of the machine. In the remote level, offline data isstored in an eMaintenance platform, which allows providing afleet dimension. This dimension allows to benefit of more dataand information allowing to make performances comparisonacross the fleet and along the time.This paper presents the advantages of the added-valuearchitecture. On one hand, there is the possibility to trackperformances to detect drifts locally and real-time based on thecurrent analysis, and on the other hand, to follow-up short andmid-term performances for deeper analysis of the fleetperformances in order to bring relevant information for decisionmakers.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014. 139-144 p.
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-40402Local ID: f84e3604-6678-4b08-9fd0-aba2c64e62d5ISBN: 978-91-7439-973-8 (print)ISBN: 978-91-7439-973-8 (electronic)OAI: oai:DiVA.org:ltu-40402DiVA: diva2:1013924
Conference
International Workshop and Congress on eMaintenance : 17/06/2014 - 18/06/2014
Note
Godkänd; 2014; 20140619 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

fulltext(21227 kB)81 downloads
File information
File name FULLTEXT01.pdfFile size 21227 kBChecksum SHA-512
20d59012e956b71f06e0400801a7e95bbcac1b4246fedf39e65cec347d141eda6d00464bbd5a8da69cfb96ba2f1ba8de2e368f65ab3870ebf11e46365e42ec2e
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Johansson, Carl-AndersGalar, Diego
By organisation
Operation, Maintenance and Acoustics
Other Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 81 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 88 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf