RAMS-model for mobile work machines with small production series

A. Ellman, Susanna Kunttu, Pasi Valkokari, H. Saarinen

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

    Abstract

    Paper presents a RAMS-model for improvement of availability performance in Mobile Work Machines. It is based on idea of combining reliability data received component manufacturers and use history with data from accelerated laboratory testing and virtual testing. The management of reliability issues in such machines is difficult due to their special characteristics such as varying loads, demanding operational conditions and small manufacturing series.
    Original languageEnglish
    Title of host publicationProceedings of the 11th International Probabilistic Safety Assessment and Management Conference & The Annual European Safety and Reliability Conference
    Subtitle of host publicationPSAM11, ESREL 2012
    Place of PublicationRed Hook, NY, USA
    PublisherCurran Associates Inc.
    Pages4983-4988
    ISBN (Print)978-1-62276-436-5
    Publication statusPublished - 2012
    MoE publication typeA4 Article in a conference publication
    Event11th International Probabilistic Safety Assessment and Management Conference and The Annual European Safety and Reliability Conference, PSAM11 & ESREL 2012 - Helsinki, Finland
    Duration: 25 Jun 201229 Jun 2012

    Conference

    Conference11th International Probabilistic Safety Assessment and Management Conference and The Annual European Safety and Reliability Conference, PSAM11 & ESREL 2012
    CountryFinland
    CityHelsinki
    Period25/06/1229/06/12

    Keywords

    • RAMS-model
    • availability
    • mobile work machine

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  • Cite this

    Ellman, A., Kunttu, S., Valkokari, P., & Saarinen, H. (2012). RAMS-model for mobile work machines with small production series. In Proceedings of the 11th International Probabilistic Safety Assessment and Management Conference & The Annual European Safety and Reliability Conference: PSAM11, ESREL 2012 (pp. 4983-4988). Curran Associates Inc..