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From Documents to Database: Failure Modes for Industrial Assets

arXiv 2509.17834 ↗First posted 22 Sep 2025cs.DB cs.AI cs.CLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 11 references that are in the map. First posted on arXiv 22 Sep 2025.

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References · 2

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2024FMEA Builder: Expert Guided Text Generation for Equipment Maintenancecited by 1

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