Remaining useful life prediction of rolling element bearings using supervised machine learning

  • Xiaochuan Li*
  • , Faris Elasha
  • , Suliman Shanbr
  • , David Mba
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    34 Citations (SciVal)
    Original languageEnglish
    Article number2705
    JournalEnergies
    Volume12
    Issue number14
    DOIs
    Publication statusPublished (VoR) - 2019

    Keywords

    • Artificial neural network
    • Prognostics
    • Regression model
    • Remaining useful life
    • Rolling element bearing
    • Vibration measurement

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