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Palabras clave – provistas por la editorial

cage instability; multiball random collision; bearing dynamic model; peak impact force; self-attention; gated neural network; remaining useful life prediction; health indicator; bearing lubrication enhancement; groove structure; multiple parameter coupling; few-layer graphene; lithium complex grease; viscoelasticity; friction and wear properties; rolling bearing; performance degradation; variation degree; probability density function; similarities between time series; positive and negative samples; contrastive learning; gated recurrent unit; remaining useful-life prediction; full-type needle bearing; dynamics performance; temperature fields; lubricating oil; angular contact ball bearing; spacer inclination; bearing stiffness; axial operating stiffness; stiffness hardening; stiffness softening; machine tool; load distribution; four-point contact ball bearing; bearing dynamics; cage motions experiment; geometric homogeneity of rollers; tapered roller bearings; friction torque; contact force distribution; wavelet packet transform; kernel principal component analysis; remaining service life of rolling bearings; convolutional neural network; bidirectional long- and short-term memory neural network; full ceramic ball bearing; lubricant oil film; service performance; simulation model; cavitation effect; herringbone spiral groove; optimum structural parameters; turbulence; water lubrication; sliding length; contact ellipse major axis; friction loss; contact angle; bearing heat generation; outer ring inclination; bearing assembly quality; full-ceramic ball bearing; self-lubricating; ceramic ball; heat generation analysis; conduct heat; temperature distribution