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    A Novel Method to Classify Rolling Element Bearing Faults Using K-Nearest Neighbor Machine Learning Algorithm 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2022:;volume( 008 ):;issue: 003:;page 31202-1
    Author(s): Vishwendra, More A.; Salunkhe, Pratiksha S.; Patil, Shivanjali V.; Shinde, Sumit A.; Shinde, P. V.; Desavale, R. G.; Jadhav, P. M.; Dharwadkar, Nagaraj V.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A novel method is proposed in this work for the classification of fault in the ball bearings. Applications of K-nearest neighbor (KNN) techniques are increasing, which redefines the state-of-the-art technology for defect ...
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