Cognitive-State-Driven LLM Decision Agent for Fault Diagnosis of Rotating Machinery Under Incomplete Evidence
Reliable fault diagnosis of rotating machinery under incomplete evidence involves identifying the fault and determining whether the available evidence is sufficient for a decision. However, existing methods mainly map fixed inputs to fault labels and do not systematically evaluate evidence sufficiency. To address this...