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autoencoders 1gradient-enhanced methods 1open-set fault diagnosis 1ridge regression 1rotating machinery 1severity classification 1spline dimensional decomposition 1surrogate modeling 1time-frequency analysis 1uncertainty quantification 1

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eess.SP2026

Fine-Grained Open-Set Fault Diagnosis via Metric-Guided Time-Frequency Configuration Selection and Class-Specific Autoencoders

Youngjae Jeon, Dongjin Lee

The paper introduces a method for fine-grained open-set fault diagnosis of rotating machinery that selects optimal time‑frequency representations using a metric‑guided approach and…