Predictive maintenance of maritime systems: models and challenges

T. Tinga, W.W. Tiddens, F. Amoiralis, M. Politis

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

    12 Citations (Scopus)
    376 Downloads (Pure)


    To reduce maintenance and logistic costs and increase the asset availability, a predictive maintenance concept for maritime systems is developed. In the present paper, the physics-of-failure based prognostic methods will be introduced, but also other issues related to the development and application of these models will be discussed. Typically, the following challenges are encountered in such a development trajectory: (i) critical part selection, (ii) predictive modelling (data-driven or physics based), (iii) monitoring / data collection, (iv) model validation and (v) making the business case. These challenges will be discussed us-ing two case studies: the cylinder liners of a diesel engine and printed circuit boards (PCB) in a radar system.
    Original languageEnglish
    Title of host publicationSafety & Reliability - Theory and Applications
    Subtitle of host publicationProceedings of the 27th European Safety and Reliability Conference (ESREL 2017)
    EditorsMarko Cepin, Radim Bris
    PublisherTaylor & Francis
    Number of pages8
    ISBN (Print)978-1-138-62937-0
    Publication statusPublished - 18 Jun 2017
    EventEuropean Safety and Reliability Conference, ESREL 2017 - University of Ljubljana, Portorož, Slovenia
    Duration: 18 Jun 201722 Jun 2017


    ConferenceEuropean Safety and Reliability Conference, ESREL 2017
    Abbreviated titleESREL


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