A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

Short summary

A novel two-stage data-driven method estimates bearing degradation by comparing vibration signal statistics to a healthy state, then uses an enhanced Kalman filter and expectation-maximization algorithm to predict remaining useful life (RUL).

AI-generated from the title and abstract; the full text is not read.