Document Type
Article
Abstract
Root cause analysis is the process of investigating the cause of a failure and providing measures to prevent future failures. It is an active area of research due to the complexities in manufacturing production lines and the vast amount of data that requires manual inspection. We present a combined approach of causal neuro-symbolic AI for root cause analysis to identify failures in smart manufacturing production lines. We have used data from an industry-grade rocket assembly line and a simulation package to demonstrate the effectiveness and relevance of our approach.
Publication Info
Preprint version International Semantic Web Conference, Fall 2024.
APA Citation
Jaimini, U., Henson, C., & Sheth, A. (2024). Causal neuro-symbolic AI for root cause analysis in smart manufacturing. International Semantic Web Conference. [Preprint]
Rights
© 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).