From Documents to Database: Failure Modes for Industrial Assets
Kabakci-Zorlu, Duygu, Lorenzi, Fabio, Sheehan, John, Lynch, Karol, Eck, Bradley
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Sep-23-2025
- Country:
- Europe > Ireland > Leinster > County Dublin > Dublin (0.04)
- Genre:
- Research Report (0.41)
- Technology: