Condition monitoring based on incremental learning and domain ontology for condition-based maintenance

Christos Emmanouilidis, Luca Fumagalli, Erkki Jantunen, Petros Pistofidis, Marco Macchi, Marco Garetti

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

    Abstract

    The paper defines the main elements of a generic condition monitoring system, as an abstraction of data and services. The key target is how to facilitate asset self-awareness, to support production-level sustainable machinery operation. The proposed approach involves knowledge-rich computational elements, capable of performing incremental model building in order to capture the specific characteristics of the monitored asset behaviour. Coupled with adequate data and knowledge modelling, by means of dedicated ontology, this abstraction mechanism is envisioned to facilitate the rapid development of condition monitoring systems for diverse application needs.
    Original languageEnglish
    Title of host publicationProceedings of APMS 2010 International Conference on Advances in Production Management Systems
    Subtitle of host publicationCernobbio, Como, Italy, 11-13.10.2010
    Publication statusPublished - 2010
    MoE publication typeA4 Article in a conference publication

    Fingerprint

    Condition monitoring
    Ontology
    Machinery

    Keywords

    • condition-based maintenance
    • condition monitoring
    • incremental learning
    • novelty detection
    • diagnosis and prognosis
    • ontology

    Cite this

    Emmanouilidis, C., Fumagalli, L., Jantunen, E., Pistofidis, P., Macchi, M., & Garetti, M. (2010). Condition monitoring based on incremental learning and domain ontology for condition-based maintenance. In Proceedings of APMS 2010 International Conference on Advances in Production Management Systems: Cernobbio, Como, Italy, 11-13.10.2010
    Emmanouilidis, Christos ; Fumagalli, Luca ; Jantunen, Erkki ; Pistofidis, Petros ; Macchi, Marco ; Garetti, Marco. / Condition monitoring based on incremental learning and domain ontology for condition-based maintenance. Proceedings of APMS 2010 International Conference on Advances in Production Management Systems: Cernobbio, Como, Italy, 11-13.10.2010. 2010.
    @inproceedings{e8910eaf75774d3281a046e66cbe3d3f,
    title = "Condition monitoring based on incremental learning and domain ontology for condition-based maintenance",
    abstract = "The paper defines the main elements of a generic condition monitoring system, as an abstraction of data and services. The key target is how to facilitate asset self-awareness, to support production-level sustainable machinery operation. The proposed approach involves knowledge-rich computational elements, capable of performing incremental model building in order to capture the specific characteristics of the monitored asset behaviour. Coupled with adequate data and knowledge modelling, by means of dedicated ontology, this abstraction mechanism is envisioned to facilitate the rapid development of condition monitoring systems for diverse application needs.",
    keywords = "condition-based maintenance, condition monitoring, incremental learning, novelty detection, diagnosis and prognosis, ontology",
    author = "Christos Emmanouilidis and Luca Fumagalli and Erkki Jantunen and Petros Pistofidis and Marco Macchi and Marco Garetti",
    note = "Project code: 21814",
    year = "2010",
    language = "English",
    isbn = "978-88-6483-007-7",
    booktitle = "Proceedings of APMS 2010 International Conference on Advances in Production Management Systems",

    }

    Emmanouilidis, C, Fumagalli, L, Jantunen, E, Pistofidis, P, Macchi, M & Garetti, M 2010, Condition monitoring based on incremental learning and domain ontology for condition-based maintenance. in Proceedings of APMS 2010 International Conference on Advances in Production Management Systems: Cernobbio, Como, Italy, 11-13.10.2010.

    Condition monitoring based on incremental learning and domain ontology for condition-based maintenance. / Emmanouilidis, Christos; Fumagalli, Luca; Jantunen, Erkki; Pistofidis, Petros; Macchi, Marco; Garetti, Marco.

    Proceedings of APMS 2010 International Conference on Advances in Production Management Systems: Cernobbio, Como, Italy, 11-13.10.2010. 2010.

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

    TY - GEN

    T1 - Condition monitoring based on incremental learning and domain ontology for condition-based maintenance

    AU - Emmanouilidis, Christos

    AU - Fumagalli, Luca

    AU - Jantunen, Erkki

    AU - Pistofidis, Petros

    AU - Macchi, Marco

    AU - Garetti, Marco

    N1 - Project code: 21814

    PY - 2010

    Y1 - 2010

    N2 - The paper defines the main elements of a generic condition monitoring system, as an abstraction of data and services. The key target is how to facilitate asset self-awareness, to support production-level sustainable machinery operation. The proposed approach involves knowledge-rich computational elements, capable of performing incremental model building in order to capture the specific characteristics of the monitored asset behaviour. Coupled with adequate data and knowledge modelling, by means of dedicated ontology, this abstraction mechanism is envisioned to facilitate the rapid development of condition monitoring systems for diverse application needs.

    AB - The paper defines the main elements of a generic condition monitoring system, as an abstraction of data and services. The key target is how to facilitate asset self-awareness, to support production-level sustainable machinery operation. The proposed approach involves knowledge-rich computational elements, capable of performing incremental model building in order to capture the specific characteristics of the monitored asset behaviour. Coupled with adequate data and knowledge modelling, by means of dedicated ontology, this abstraction mechanism is envisioned to facilitate the rapid development of condition monitoring systems for diverse application needs.

    KW - condition-based maintenance

    KW - condition monitoring

    KW - incremental learning

    KW - novelty detection

    KW - diagnosis and prognosis

    KW - ontology

    UR - https://www.apms-conference.org/images/uploaded/APMS%20Book%20of%20Abstracts.pdf

    M3 - Conference article in proceedings

    SN - 978-88-6483-007-7

    BT - Proceedings of APMS 2010 International Conference on Advances in Production Management Systems

    ER -

    Emmanouilidis C, Fumagalli L, Jantunen E, Pistofidis P, Macchi M, Garetti M. Condition monitoring based on incremental learning and domain ontology for condition-based maintenance. In Proceedings of APMS 2010 International Conference on Advances in Production Management Systems: Cernobbio, Como, Italy, 11-13.10.2010. 2010