This work is focused on developing an effective method for bearing remaining useful life predictions. The in accurately predicting the of bearings so that machine damage, production outage, and human accidents caused by unexpected failure can be prevented. study uses dataset provided FEMTO-ST Institute, Besançon, France. starts with exploration neural networks, based which biaxial vibration sig...