Hong Pei

MGMD: A novel cross-working remaining useful life prediction method for rolling bearings under small-sample conditions

To address heavy data reliance and poor cross-working condition generalization of rolling bearing remaining useful life (RUL) prediction models under small-sample scenarios, this paper proposes a novel method integrating meta-learning, parallel temporal modeling and the domain adversarial mechanism. Firstly, feature ex...