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

    SeriesLecture Notes in Mechanical Engineering

    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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    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.",
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    author = "Eduard Gilabert and Erkki Jantunen and Christos Emmanouilidis and Andrew Starr and Aitor Arnaiz",
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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