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Oct 2026

Prognosis for Stochastic Degradation Devices: A Perspective of Lebesgue Sampling

Lebesgue sampling (LS) has emerged as an efficient paradigm for remaining useful life (RUL) prediction in stochastic degrading devices, because model updates are triggered only when critical degradation states are reached. However, its practical application is hindered by interval censoring under discrete monitoring, w...

Ge-Ruo Zhang, Zheng-Xin Zhang, Hong Pei et al. · 0 citations
Aug 2026

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...

Xin Zhang, Jian-Fei Zheng, Hong Pei et al. · 0 citations

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