{"ID":2867752,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.17834","arxiv_id":"2509.17834","title":"From Documents to Database: Failure Modes for Industrial Assets","abstract":"We propose an interactive system using foundation models and user-provided technical documents to generate Failure Mode and Effects Analyses (FMEA) for industrial equipment. Our system aggregates unstructured content across documents to generate an FMEA and stores it in a relational database. Leveraging this tool, the time required for creation of this knowledge-intensive content is reduced, outperforming traditional manual approaches. This demonstration showcases the potential of foundation models to facilitate the creation of specialized structured content for enterprise asset management systems.","short_abstract":"We propose an interactive system using foundation models and user-provided technical documents to generate Failure Mode and Effects Analyses (FMEA) for industrial equipment. Our system aggregates unstructured content across documents to generate an FMEA and stores it in a relational database. Leveraging this tool, the...","url_abs":"https://arxiv.org/abs/2509.17834","url_pdf":"https://arxiv.org/pdf/2509.17834v1","authors":"[\"Duygu Kabakci-Zorlu\",\"Fabio Lorenzi\",\"John Sheehan\",\"Karol Lynch\",\"Bradley Eck\"]","published":"2025-09-22T14:23:50Z","proceeding":"cs.DB","tasks":"[\"cs.DB\",\"cs.AI\",\"cs.CL\"]","methods":"[]","has_code":false}