Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis

Key points

• We introduce Agentic4PDM, a framework that separates adaptive investigation from control over evidence use.1
• A deterministic software controller, called the host, enforces contract-checked gated adjudication (CCGA): it checks requests, requires commitment to a complete tool batch before results are observed, and assigns evidence roles based on tool checks against labeled references.1
• Agentic4PDM supports training-free diagnosis using pretrained representations and labeled references without task-specific diagnostic models, and a standard setting that additionally investigates trained-model predictions.1
• Experiments on selected bearing and motor diagnosis challenges and an unfiltered industrial test set supplied by our customer show gains in aggregate macro F1 over the evaluated diagnostic and agentic baselines.1

Sources (1)

• [1]Agentic4PDM: Host-Governed Evidence Admissibility for Industrial Fault Diagnosis
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 13, 06:14 AM

  We study industrial fault diagnosis as a classification task that assigns sensor time-series windows to predefined health states or fault types.

  We introduce Agentic4PDM, a framework that separates adaptive investigation from control over evidence use.

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