Physics-informed prognostic model for rolling element bearing using auxiliary particle filter with resample-move and inline oil debris data
Rolling element bearings are susceptible to spalling, a major failure mechanism due to rolling contact fatigue. It poses failure risks in rotating machinery like wind turbines and aircraft engines. The data-driven method for remaining useful life (RUL) prediction has shown significant potential in intelligent prognosti...