Physically verifiable evidence and LLM-based reporting for bearing fault diagnosis
Read the original at arxiv.org→arXiv:2607.22797v1 Announce Type: new Abstract: Trustworthy deployment of AI-based diagnosis in safety-critical mechanical systems hinges on validation: whether a prediction can be checked against physical reality...
Original headline: "Physically Verifiable Evidence and LLM-Based Reporting for Bearing Fault Diagnosis"
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- Jul 28, 04:00 UTC arXiv cs.LG lead source Physically Verifiable Evidence and LLM-Based Reporting for Bearing Fault Diagnosis