A meta-transfer learning prediction method with few-shot data for the remaining useful life of rolling bearing
Structural Health Monitoring: An International Journal
Published online on February 27, 2025
Abstract
Structural Health Monitoring, Volume 25, Issue 4, Page 2190-2207, July 2026.
Rolling bearings are essential components of rotating machinery. It is crucial to predict and manage the health of rolling bearings. This article proposes a meta transfer learning-based remaining useful life (RUL) prediction approach with few-shot data ...
Rolling bearings are essential components of rotating machinery. It is crucial to predict and manage the health of rolling bearings. This article proposes a meta transfer learning-based remaining useful life (RUL) prediction approach with few-shot data ...