A hybrid prognostic methodology for tidal turbine gearboxes

Faris Elasha*, David Mba, Michael Togneri, Ian Masters, Joao Amaral Teixeira

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    25 Citations (Scopus)
    Original languageEnglish
    Pages (from-to)1051-1061
    Number of pages11
    JournalRenewable Energy
    Volume114
    DOIs
    Publication statusPublished (VoR) - 2017

    Keywords

    • Diagnosis
    • Gearbox
    • Health management
    • Life prediction
    • Prognosis
    • Tidal turbines

    Fingerprint

    Dive into the research topics of 'A hybrid prognostic methodology for tidal turbine gearboxes'. Together they form a unique fingerprint.

    Cite this