Rare Failure Prediction via Event Matching for Aerospace Applications

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    5 Citations (Scopus)

    Abstract

    In this paper, we consider a problem of failure prediction in the context of predictive maintenance applications. We present a new approach for rare failures prediction, based on a general methodology, which takes into account peculiar properties of technical systems. We illustrate the applicability of the method on the real-world test cases from aircraft operations.

    Original languageEnglish
    Title of host publication2019 3rd International Conference on Circuits, System and Simulation, ICCSS 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages214-220
    Number of pages7
    ISBN (Electronic)9781728136578
    DOIs
    Publication statusPublished - Jun 2019
    Event3rd International Conference on Circuits, System and Simulation, ICCSS 2019 - Nanjing, China
    Duration: 13 Jun 201915 Jun 2019

    Publication series

    Name2019 3rd International Conference on Circuits, System and Simulation, ICCSS 2019

    Conference

    Conference3rd International Conference on Circuits, System and Simulation, ICCSS 2019
    Country/TerritoryChina
    CityNanjing
    Period13/06/1915/06/19

    Keywords

    • aircraft
    • anomaly detection
    • event matching
    • failure
    • machine learning
    • predictive maintenance
    • rare event

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