AI RESEARCH

Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes

arXiv CS.LG

ArXi:2411.12159v5 Announce Type: replace-cross Deep-space habitats (DSHs) are safety-critical systems that must operate autonomously for long periods, often beyond the reach of ground-based maintenance or expert intervention. Monitoring health and anticipating failures are essential for safe operations. Prognostics based on remaining useful life (RUL) prediction this goal by estimating how long a subsystem can operate before failure.