Optimizing E-Maintenance Through Intelligent Data Processing Systems

Eduard Gilabert (Corresponding author), Erkki Jantunen, Christos Emmanouilidis, Andrew Starr, Aitor Arnaiz

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

The landscape of maintenance and asset management has been reshaped as key technology enablers that are making a significant impact on everyday applications. The growing maturing of web-based and semantic maintenance, the ubiquity of mobile and situated computing, and the lowered costs and increased capabilities of wireless sensing and identification technologies are among the enabling technologies having the most significant impact. They are recognized as the key constituents of eMaintenance, the technological framework that empowers organisations to streamline their asset management services and data delivery across the maintenance operations chain. This paper takes a look at these key, contributing technologies, alongside their adaption prospects and current hurdles preventing the wider penetration of eMaintenance industry.
Original languageEnglish
Title of host publicationEngineering Asset Management 2011
Subtitle of host publicationProceedings of the Sixth World Congress on Engineering Asset Management
Place of PublicationLondon
PublisherSpringer
Pages1-9
ISBN (Electronic)978-1-4471-4993-4
ISBN (Print)978-1-4471-4992-7
DOIs
Publication statusPublished - 2014
MoE publication typeA4 Article in a conference publication
EventSixth World Congress on Engineering Asset Management - Cincinnati, United States
Duration: 3 Oct 20115 Oct 2011

Publication series

NameLecture Notes in Mechanical Engineering
PublisherSpringer

Conference

ConferenceSixth World Congress on Engineering Asset Management
CountryUnited States
CityCincinnati
Period3/10/115/10/11

Fingerprint

Asset management
Semantics
Costs
Industry

Keywords

  • e-Maintenance
  • mobile maintenance
  • asset management

Cite this

Gilabert, E., Jantunen, E., Emmanouilidis, C., Starr, A., & Arnaiz, A. (2014). Optimizing E-Maintenance Through Intelligent Data Processing Systems. In Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management (pp. 1-9). London: Springer. Lecture Notes in Mechanical Engineering https://doi.org/10.1007/978-1-4471-4993-4_1
Gilabert, Eduard ; Jantunen, Erkki ; Emmanouilidis, Christos ; Starr, Andrew ; Arnaiz, Aitor. / Optimizing E-Maintenance Through Intelligent Data Processing Systems. Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management. London : Springer, 2014. pp. 1-9 (Lecture Notes in Mechanical Engineering).
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Gilabert, E, Jantunen, E, Emmanouilidis, C, Starr, A & Arnaiz, A 2014, Optimizing E-Maintenance Through Intelligent Data Processing Systems. in Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management. Springer, London, Lecture Notes in Mechanical Engineering, pp. 1-9, Sixth World Congress on Engineering Asset Management, Cincinnati, United States, 3/10/11. https://doi.org/10.1007/978-1-4471-4993-4_1

Optimizing E-Maintenance Through Intelligent Data Processing Systems. / Gilabert, Eduard (Corresponding author); Jantunen, Erkki; Emmanouilidis, Christos; Starr, Andrew; Arnaiz, Aitor.

Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management. London : Springer, 2014. p. 1-9 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Gilabert E, Jantunen E, Emmanouilidis C, Starr A, Arnaiz A. Optimizing E-Maintenance Through Intelligent Data Processing Systems. In Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management. London: Springer. 2014. p. 1-9. (Lecture Notes in Mechanical Engineering). https://doi.org/10.1007/978-1-4471-4993-4_1