Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning

Mohamed Elforjani, Suliman Shanbr

    Research output: Contribution to journal › Article › peer-review

    194 Citations (Scopus)
    112 Downloads (Pure)

    Fingerprint

    Dive into the research topics of 'Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning'. Together they form a unique fingerprint.

    Keyphrases

    Engineering

    Chemical Engineering