AI RESEARCH
Physics-Guided Tiny-Mamba Transformer for Reliability-Aware Early Fault Warning
arXiv CS.LG
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ArXi:2601.21293v2 Announce Type: replace Reliability-centered prognostics for rotating machinery requires early-warning signals that remain accurate under nonstationary operating conditions, domain shifts across speed, load, sensors, and machines, and severe class imbalance, while keeping false-alarm rates small and predictable. We propose the Physics-Guided Tiny-Mamba Transformer (PG-TMT), a compact tri-branch encoder tailored for online condition monitoring.