Skip to main navigation Skip to search Skip to main content

Prognosis of a wind turbine gearbox bearing using supervised machine learning

  • Faris Elasha
  • , Suliman Shanbr
  • , Xiaochuan Li*
  • , David Mba
  • *Corresponding author for this work
    • Coventry University
    • Cranfield University
    • De Montfort University
    • University of Nigeria

    Research output: Contribution to journalArticlepeer-review

    75 Citations (SciVal)
    Original languageEnglish
    Article number3092
    JournalSensors (Switzerland)
    Volume19
    Issue number14
    DOIs
    Publication statusPublished (VoR) - 2 Jul 2019

    Keywords

    • Artificial neural network
    • High-speed shaft bearing
    • Prognosis
    • Regression
    • Remaining useful life
    • Vibration measurement
    • Wind turbine

    Fingerprint

    Dive into the research topics of 'Prognosis of a wind turbine gearbox bearing using supervised machine learning'. Together they form a unique fingerprint.

    Cite this