A hierarchical refined representation with degradation-guided alignment network for rolling bearings remaining useful life prediction under unseen conditions
Domain generalization (DG) has been widely applied in bearing remaining useful life (RUL) prediction owing to its capacity for generalizing prior diagnostic knowledge toward unseen operating conditions. However, numerous DG methods are often constrained by the limited domain-invariant feature generalization capabilitie...