Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models 事件

Towards Unified and Data-Efficient Prognostics and Health Management with Tabular Foundation Models arXiv:2606.05481v1 Announce Type: cross Abstract: Data-driven Prognostics and Health Management (PHM) uses time-varying condition-monitoring data to diagnose system states and estimate remaining useful life in engineered assets. These tasks are central to maintenance planning, but industrial PHM data are often fragmented, partially observed, and poorly labeled, which hinders supervised learning.