Maintenance Supported by Cyber-Physical Systems and Cloud Technology

Erkki Jantunen, Jarno Junnola, Unai Gorostegui

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

    2 Citations (Scopus)

    Abstract

    The paper discusses about the possibilities of Cyber-Physical Systems (CPS) and cloud technology in maintenance. Fairly new sensor solutions that could be used in maintenance and in interaction with CPS are also presented. Data models are important part of condition based maintenance (CBM) because the huge amount of data that is produced and thus also Machinery Information Management Open System Alliance (MIMOSA) Open System Architecture for Condition-Based Maintenance (OSA-CBM) standard architecture for transferring information is discussed.
    Original languageEnglish
    Title of host publication2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages708-713
    Number of pages6
    Volume2017-January
    ISBN (Electronic)978-1-5090-6465-6
    ISBN (Print)978-1-5090-6466-3
    DOIs
    Publication statusPublished - 8 Nov 2017
    MoE publication typeA4 Article in a conference publication
    Event4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 - Barcelona, Spain
    Duration: 5 Apr 20175 May 2017

    Conference

    Conference4th International Conference on Control, Decision and Information Technologies, CoDIT 2017
    Abbreviated titleCoDIT 2017
    CountrySpain
    CityBarcelona
    Period5/04/175/05/17

    Fingerprint

    Condition-based Maintenance
    Open Systems
    Maintenance
    Open Architecture
    Information Management
    Open systems
    System Architecture
    Data Model
    Sensor
    Interaction
    Information management
    Machinery
    Data structures
    Cyber Physical System
    Condition-based maintenance
    Sensors
    Architecture
    Standards
    System architecture
    Alliances

    Keywords

    • Cyber-Physical Systems
    • CPS
    • cloud
    • MEMS
    • piezofilm
    • MIMOSA
    • OSA-CBM
    • MEM

    Cite this

    Jantunen, E., Junnola, J., & Gorostegui, U. (2017). Maintenance Supported by Cyber-Physical Systems and Cloud Technology. In 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 (Vol. 2017-January, pp. 708-713). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/CoDIT.2017.8102678
    Jantunen, Erkki ; Junnola, Jarno ; Gorostegui, Unai. / Maintenance Supported by Cyber-Physical Systems and Cloud Technology. 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017. Vol. 2017-January IEEE Institute of Electrical and Electronic Engineers , 2017. pp. 708-713
    @inproceedings{5f1cd55421df47898f57feb123c16a5a,
    title = "Maintenance Supported by Cyber-Physical Systems and Cloud Technology",
    abstract = "The paper discusses about the possibilities of Cyber-Physical Systems (CPS) and cloud technology in maintenance. Fairly new sensor solutions that could be used in maintenance and in interaction with CPS are also presented. Data models are important part of condition based maintenance (CBM) because the huge amount of data that is produced and thus also Machinery Information Management Open System Alliance (MIMOSA) Open System Architecture for Condition-Based Maintenance (OSA-CBM) standard architecture for transferring information is discussed.",
    keywords = "Cyber-Physical Systems, CPS, cloud, MEMS, piezofilm, MIMOSA, OSA-CBM, MEM",
    author = "Erkki Jantunen and Jarno Junnola and Unai Gorostegui",
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    Jantunen, E, Junnola, J & Gorostegui, U 2017, Maintenance Supported by Cyber-Physical Systems and Cloud Technology. in 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017. vol. 2017-January, IEEE Institute of Electrical and Electronic Engineers , pp. 708-713, 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017, Barcelona, Spain, 5/04/17. https://doi.org/10.1109/CoDIT.2017.8102678

    Maintenance Supported by Cyber-Physical Systems and Cloud Technology. / Jantunen, Erkki; Junnola, Jarno; Gorostegui, Unai.

    2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017. Vol. 2017-January IEEE Institute of Electrical and Electronic Engineers , 2017. p. 708-713.

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

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    N2 - The paper discusses about the possibilities of Cyber-Physical Systems (CPS) and cloud technology in maintenance. Fairly new sensor solutions that could be used in maintenance and in interaction with CPS are also presented. Data models are important part of condition based maintenance (CBM) because the huge amount of data that is produced and thus also Machinery Information Management Open System Alliance (MIMOSA) Open System Architecture for Condition-Based Maintenance (OSA-CBM) standard architecture for transferring information is discussed.

    AB - The paper discusses about the possibilities of Cyber-Physical Systems (CPS) and cloud technology in maintenance. Fairly new sensor solutions that could be used in maintenance and in interaction with CPS are also presented. Data models are important part of condition based maintenance (CBM) because the huge amount of data that is produced and thus also Machinery Information Management Open System Alliance (MIMOSA) Open System Architecture for Condition-Based Maintenance (OSA-CBM) standard architecture for transferring information is discussed.

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    KW - piezofilm

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    Jantunen E, Junnola J, Gorostegui U. Maintenance Supported by Cyber-Physical Systems and Cloud Technology. In 2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017. Vol. 2017-January. IEEE Institute of Electrical and Electronic Engineers . 2017. p. 708-713 https://doi.org/10.1109/CoDIT.2017.8102678