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CBM Today and Tomorrow: A Model for Digitalised, Automated and Intelligent CBM Exemplified for VBM
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Systemekonomi)ORCID iD: 0000-0001-8205-8289
2018 (English)In: Journal of Maintenance Engineering, Vol. 2, p. 243-256Article in journal (Refereed) Published
Abstract [en]

Industry strives towards developing and implementing digitalised and automated production process, Industry 4.0. This states hard terms and conditions to develop new concept-based maintenance to meet the new production process demands. Intelligent and automated condition-based maintenance (CBM) exempli-fied in vibration-based maintenance (VBM) is one of the most suitable techniques for developing a maintenance concept fulfilling the demands stated by Industry 4.0. In this paper, we identified today┬┤s VBM-process activities and their applica-tion, and introduced and discussed their status. In addition, we developed a model that describes future VBM, Cognitive VBM. Then, we compared cognitive VBM with the currently available VBM. The major conclusions are the potential benefit of applying Cognitive VBM is the continuous enhancement of company internal effectiveness in a cost-effective way.

Place, publisher, year, edition, pages
UK: ShieldCrest Publishing Aylesbury, Buckinghamshire , 2018. Vol. 2, p. 243-256
Keywords [en]
Condition-based Maintenance (CBM); Vibration-based Maintenance (VBM); Cognitive VBM; Digitalised and Automated Maintenance
National Category
Reliability and Maintenance
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-77711OAI: oai:DiVA.org:lnu-77711DiVA, id: diva2:1247820
Note

Ej belagd 181003

Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2019-02-26Bibliographically approved

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Al-Najjar, Basim

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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