Adversarial inverse reinforcement learning over consecutive vibration samples yields label-free early fault warnings, but the headline robustness claim depends on a threshold fitted to the test set.
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Label-free Industrial Fault Detection via Adversarial Inverse Reinforcement Learning: A System for Run-to-Failure Prognostics
Adversarial inverse reinforcement learning over consecutive vibration samples yields label-free early fault warnings, but the headline robustness claim depends on a threshold fitted to the test set.