From Documents to Database: Failure Modes for Industrial Assets
arXiv:2509.17834
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.
7 pages, 4 figures. Artificial Intelligence for Knowledge Acquisition & Management (AI4KAM) Workshop @ IJCAI 2025