FMEA Builder: Expert Guided Text Generation for Equipment Maintenance

Karol Lynch, Fabio Lorenzi, John D Sheehan, Duygu Kabakci-Zorlu, Bradley Eck

Track: Work in Progress

Categories: Reliability of Critical Systems

Keywords: Generative AI, Reliability, Large Language Model, FMEA

TL;DR: This paper describes and discusses the usage of generative AI and related techniques to complete FMEA studies of critical infrastructure assets.

Abstract: Foundation models show great promise for generative tasks in many domains. Here we discuss the use of foundation models to generate structured documents related to critical assets. A Failure Mode and Effects Analysis (FMEA) captures the composition of an asset or piece of equipment, the ways it may fail and the consequences thereof. Our system uses large language models to enable fast and expert supervised generation of new FMEA documents. Empirical analysis shows that foundation models can correctly generate over half of an FMEA's key content. Results from polling audiences of reliability professionals show a positive outlook on using generative AI to create these documents for critical assets.

Submission Number: 9