AI RESEARCH
Transformer-Based Predictive Maintenance for Risk-Aware Instrument Calibration
arXiv CS.AI
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ArXi:2603.20297v1 Announce Type: cross Accurate calibration is essential for instruments whose measurements must remain traceable, reliable, and compliant over long operating periods. Fixed-interval programs are easy to administer, but they ignore that instruments drift at different rates under different conditions. This paper studies calibration scheduling as a predictive maintenance problem: given recent sensor histories, estimate time-to-drift (TTD) and intervene before a violation occurs.