On Construction of Early Warning Systems for Predictive Maintenance in Aerospace Industry

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)

    Abstract

    Abstract: The problem of constructing predictive models for early warning systems for diagnostic maintenance in the aerospace industry is considered. A new approach to predicting rare failures based on a new methodology that takes into account the properties of technical systems and specific requirements imposed by applications is proposed.

    Original languageEnglish
    Pages (from-to)1473-1484
    Number of pages12
    JournalJournal of Communications Technology and Electronics
    Volume64
    Issue number12
    DOIs
    Publication statusPublished - 1 Dec 2019

    Keywords

    • anomaly detection
    • failure prediction
    • machine learning
    • monitoring system
    • predictive maintenance
    • signal processing

    Fingerprint

    Dive into the research topics of 'On Construction of Early Warning Systems for Predictive Maintenance in Aerospace Industry'. Together they form a unique fingerprint.

    Cite this