Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis
We study industrial fault diagnosis as a classification task that assigns sensor time-series windows to predefined health states or fault types. Scarce labels and changing operating conditions make repeated training of specialized classifiers costly. Yet structures such as periodicity, trends, and transients can remain...